TY - JOUR A1 - Szymoniak, Paulina A1 - Pauw, Brian Richard A1 - Qu, Xintong A1 - Schönhals, Andreas T1 - Competition of nanoparticle-induced mobilization and immobilization effects on segmental dynamics of an epoxy-based nanocomposite N2 - The complex effects of nanoparticles on a thermosetting material based on an anhydride cured DGEBA/Boehmite nanocomposite with different particle concentrations is considered. A combination of X-ray scattering, calorimetry, including fast scanning calorimetry as well as temperature modulated calorimetry and dielectric spectroscopy, was employed to study the structure, the vitrification kinetics and the molecular dynamics of the nanocomposites. For the first time in the literature for an epoxy-based composite a detailed analysis of the X-ray data was carried out. Moreover, the unfilled polymer was found to be intrinsically heterogeneous, showing regions with different crosslinking density, indicated by two separate dynamic glass transitions. The glass transition temperature decreases with increasing nanoparticle concentration, resulting from a change in the crosslinking density. Moreover, on the one hand, for nanocomposites the incorporation of nanofiller increased the number of mobile segments for low nanoparticle concentrations, due to the altered crosslinking density. On the other hand, for higher loading degrees the number of mobile segments decreased, resulting from the formation of an immobilized interphase (RAF). The simultaneous mobilization and immobilization of the segmental dynamics cannot be separated unambiguously. Taking the sample with highest number of mobile segments as reference state it was possible to estimate the amount of RAF. KW - Nanocomposite PY - 2020 DO - https://doi.org/10.1039/d0sm00744g SN - 1744-683X VL - 16 IS - 23 SP - 5406 EP - 5421 PB - Royal Chemical Society AN - OPUS4-50883 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Aratsu, K. A1 - Takeya, R. A1 - Pauw, Brian Richard A1 - Hollamby, M.J. A1 - Kitamoto, Y. A1 - Shimizu, N. A1 - Takagi, H. A1 - Haruki, R. A1 - Adachi, S. A1 - Yagai, S. T1 - Supramolecular copolymerization driven by integrative self-sorting of hydrogen-bonded rosettes N2 - Molecular recognition to preorganize noncovalently polymerizable supramolecular complexes is a characteristic process of natural supramolecular polymers, and such recognition processes allow for dynamic self-alteration, yielding complex polymer systems with extraordinarily high efficiency in their targeted function. We herein show an example of such molecular recognition-controlled kinetic assembly/disassembly processes within artificial supramolecular polymer systems using six-membered hydrogen-bonded supramolecular complexes (rosettes). Electron-rich and poor monomers are prepared that kinetically coassemble through a temperature-controlled protocol into amorphous coaggregates comprising a diverse mixture of rosettes. Over days, the electrostatic interaction between two monomers induces an integrative self-sorting of rosettes. While the electron-rich monomer inherently forms toroidal homopolymers, the additional electrostatic interaction that can also guide rosette association allows helicoidal growth of supramolecular copolymers that are comprised of an alternating array of two monomers. Upon heating, the helicoidal copolymers undergo a catastrophic transition into amorphous coaggregates via entropy-driven randomization of the monomers in the rosette. KW - Self-assembly KW - Coaggregation KW - Scattering KW - Simulation KW - AFM PY - 2020 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-506555 DO - https://doi.org/10.1038/s41467-020-15422-6 VL - 11 IS - 1 SP - Article number: 1623 PB - Springer Nature AN - OPUS4-50655 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Ryan, T. M. A1 - Xun, Y. A1 - Cowieson, N. P. A1 - Mata, J. P. A1 - Jackson, A. A1 - Pauw, Brian Richard A1 - Smith, A. J. A1 - Kirby, N. A1 - McGillivray, D. T1 - Combined pressure and temperature denaturation of ribonuclease A produces alternate dentatured states N2 - Protein folding, unfolding and misfolding have become critically important to a range of health and industry applications. Increasing high temperature and high pressure are used to control and speed up reactions. A number of studies have indicated that these parameters can have a large effecton protein structure and function. Here we describe the additive effects of these parameters on the small angle scattering behaviour of ribonuclease A. We find that alternate unfolded structures can be obtained with combined high pressure and temperature treatment of the protein. KW - Protein unfolding KW - Small angle scattering KW - Ribonuclease A KW - High pressure PY - 2016 DO - https://doi.org/10.1016/j.bbrc.2016.03.135 SN - 0006-291X IS - 473 SP - 834 EP - 839 PB - Academic Press Inc Elsevier Science CY - San Diego, USA AN - OPUS4-36052 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - Coping with the EU Nano-definition: abilities and limitations of particle sizing with SAXS N2 - Excelling in brevity but lacking in applicability, the 2011 EU nanomaterial definition has become a source of anguish for scientists and industry alike. Repeated pleas and discussions with our own envoy have demonstrated the strength of their resolve: this definition is unlikely to change. Manufacturers of many materials (cosmetics, pigments, foodstuffs, etc.) will have to characterise and label all their products accordingly, a task still impossible for lack of a clear metrological approach towards this goal. Therefore, the onus has fallen on the scientists to come up with a practicable measurement technique allowing inexpensive classification covering large swathes of the material landscape. Small-angle X-ray Scattering (SAXS) probes the size range in question, and can - with due care - deliver a bulk-averaged volume-weighted size distribution. Like any other real-world measurement method, however, it is not (and can never be) a universal solution. This presentation will clarify the SAXS technique, provide several application examples for nanomaterial characterisation, and will detail the limitations and pitfalls that accompany its abilities. At the end of this presentation, you will have the information to judge whether the technique is amenable to your materials or not. T2 - 2016 TechConnect World Innovation Conference CY - National Harbor, MD, USA DA - 23.05.2016 KW - SAXS KW - presentation KW - EU KW - Nanomaterial PY - 2016 AN - OPUS4-36489 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - The dark side of science N2 - This talk explores the various ways in which bad science can proliferate in the current academic environment, and what can be done to recognize and (maybe) correct it. T2 - Better with Scattering workshop 2020 CY - BAM, Berlin, Germany DA - 16.03.2020 KW - Scientific rigor KW - Academic fraud KW - Academic metrics PY - 2020 AN - OPUS4-51017 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - McSAS for SAS analysis: Usage, Benefits and Potential Pitfalls N2 - This talk introduces McSAS, code for analysis of scattering patterns to extract particle size distributions. It highlights how it works, how it should be used, and when it may (not) be applied T2 - Better with Scattering workshop 2020 CY - BAM, Berlin, Germany DA - 16.03.2020 KW - Small angle scattering KW - Software KW - Analysis PY - 2020 AN - OPUS4-51019 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Pauw, Brian Richard A1 - Szymoniak, Paulina T1 - Dataset and Jupyter worksheet interpreting the (results from) small- and wide-angle scattering data from a series of boehmite/epoxy nanocomposites. Accompanies the publication "Competition of nanoparticle-induced mobilization and immobilization effects on segmental dynamics of an epoxy-based nanocomposite" N2 - Dataset and Jupyter worksheet interpreting the (results from) small- and wide-angle scattering data from a series of boehmite/epoxy nanocomposites. Accompanies the publication "Competition of nanoparticle-induced mobilization and immobilization effects on segmental dynamics of an epoxy-based nanocomposite", by Paulina Szymoniak, Brian R. Pauw, Xintong Qu, and Andreas Schönhals. Datasets are in three-column ascii (processed and azimuthally averaged data) from a Xenocs NanoInXider SW instrument. Monte-Carlo analyses were performed using McSAS 1.3.1, other analyses are in the Python 3.7 worksheet. Graphics and result tables are output by the worksheet. KW - Small angle scattering KW - X-ray scattering KW - Nanocomposite KW - Polymer nanocomposite KW - Boehmite KW - Analysis KW - SAXS/WAXS PY - 2020 DO - https://doi.org/10.5281/zenodo.4321087 PB - Zenodo CY - Geneva AN - OPUS4-51829 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - The Dark Side of Science N2 - An overview of the dark side of science: what it is, how it occurs, and what you can do to understand it and fight for the light side. T2 - First training event of the ITN-Project GW4SHM CY - Online meeting DA - 23.11.2020 KW - Scientific rigor KW - Scientific misconduct KW - Data manipulation KW - Image manipulation PY - 2020 AN - OPUS4-51830 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - The Dark side of Science N2 - We all may have started out as bright-eyed students trying to do science to the best of our abilities, but over time, some of us have gradually drifted to the dark side. The dark side of science has an impressive publication rate in high-ranking journals, good success with funding agencies, and rocks the world with stellar findings. Unfortunately, these findings aren't real, either by accident or on purpose. As the presenter and his colleagues found, trying to correct or even dispute any of these findings in literature is a supremely complex and time-consuming effort. With no recent reduction in the frequency of such false findings, it is up to us to try to stem the flow. Besides looking at examples, we need to understand the underlying driving forces behind this dark scientific movement. By combining this understanding with a refresher of the core scientific principles, we can then develop the necessary argumentative tools and mechanisms that may prevent our own slide down the slippery slope. This talk will therefore start out with several entertaining examples of probably accidental, as well as definitely deliberate, false scientific findings in literature (and in particular in the field of materials research). We will then take a brief look at the possible causes for these developments, after which some tools will be presented that can help both the fresh as well as the well-seasoned scientist to rise up against the dark side. T2 - DGM special event (invited lecture) CY - Online meeting DA - 23.06.2021 KW - Scientific fraud KW - Reproducibility crisis KW - Bad science KW - Scientific method KW - Publication pressure PY - 2021 AN - OPUS4-53274 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Szymoniak, Paulina A1 - Qu, Xintong A1 - Abbasi, M. A1 - Pauw, Brian Richard A1 - Henning, S. A1 - Li, Z. A1 - Wang, D.-Y. A1 - Schick, C. A1 - Saalwächter, K. A1 - Schönhals, Andreas T1 - Spatial inhomogeneity, Interfaces and Complex Vitrification Kinetics in a Network Forming Nanocomposite N2 - A detailed calorimetric study on an epoxy-based nanocomposite system was performed employing bisphenol A diglycidyl ether (DGEBA) cured with diethylenetriamine (DETA) as the polymer matrix and taurine-modified MgAL layered double hydroxide (T-LDH) as nanofiller. The -NH2 group of taurine can react with DGEBA improving the interaction of the polymer with the filler. The combined X-ray scattering, and electron microscopy data showed that the nanocomposite has a partially exfoliated morphology. Calorimetric studies were performed with conventional DSC, temperature modulated DSC (TMDSC) and fast scanning calorimetry (FSC) in the temperature modulated approach (TMFSC) to investigate the vitrification and molecular mobility in dependence of the filler concentration. First, TMDSC and NMR were used to estimate the amount of the rigid amorphous fraction which consists of immobilized polymer segments at the nanoparticle surface. It was found to be 40 wt% for the highest filler concentration, indicating that the interface dominates the overall macroscopic properties and behavior of the material to a great extent. Second, the relaxation rates of the α-relaxation obtained by TMDSC and TMFSC were compared with the thermal and dielectric relaxation rates measured by static FSC. The investigation revealed that the system shows two distinct α-relaxation processes. Furthermore, also two separate vitrification mechanisms were found for a bulk network-former without geometrical confinement as also confirmed by NMR. This was discussed in terms of the intrinsic spatial heterogeneity on a molecular scale, which becomes more pronounced with increasing nanofiller content. KW - Polymer based Nanocomposites PY - 2021 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-523199 DO - https://doi.org/10.1039/d0sm01992e SN - 1744-6848 VL - 17 IS - 10 SP - 2775 EP - 2790 PB - Royal Society of Chemistry AN - OPUS4-52319 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Pauw, Brian Richard T1 - Set of technical drawings, associated with manuscript entitled: "Extending Synchrotron SAXS instrument ranges through addition of a portable, inexpensive USAXS module with vertical rotation axes" N2 - This is a set of drawings accompanying the submitted paper entitled "Extending Synchrotron SAXS instrument ranges through addition of a portable, inexpensive USAXS module with vertical rotation axes". The parts described herein will combine with commercial off-the-shelf components to build a high precision pair of rotation stages for accurate measurement of scattering angles with a sub-microradian precision. KW - X-ray scattering KW - USAXS KW - ultra-small-angle X-ray scattering KW - technical drawings KW - module KW - extension PY - 2021 DO - https://doi.org/10.5281/zenodo.4604703 PB - Zenodo CY - Geneva AN - OPUS4-52547 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - VIDEO A1 - Pauw, Brian Richard T1 - The SAXS platform at BAM N2 - Presentation of the Small-Angle X-Ray Scattering intrument at BAM (Berlin - Germany). More information about SAXS is available on Brian Pauw's long-running SAXS blog: https://lookingatnothing.com/ KW - X-ray scattering KW - MOUSE KW - Instrumentation KW - SAXS KW - Laboratory PY - 2021 UR - https://www.youtube.com/watch?v=OjYToZQTsqo PB - YouTube, LLC CY - San Bruno, CA, USA AN - OPUS4-53358 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Deumer, J. A1 - Pauw, Brian Richard A1 - Marguet, S. A1 - Skroblin, D. A1 - Taché, O. A1 - Krumrey, M. A1 - Gollwitzer, C. T1 - Small-angle X-ray scattering: characterization of cubic Au nanoparticles using Debye’s scattering formula N2 - A versatile software package in the form of a Python extension, named CDEF (computing Debye’s scattering formula for extraordinary form factors), is proposed to calculate approximate scattering profiles of arbitrarily shaped nanoparticles for small-angle X-ray scattering (SAXS). CDEF generates a quasi-randomly distributed point cloud in the desired particle shape and then applies the open-source software DEBYER for efficient evaluation of Debye’s scattering formula to calculate the SAXS pattern (https://github.com/j-from-b/CDEF). If self-correlation of the scattering signal is not omitted, the quasi-random distribution provides faster convergence compared with a true-random distribution of the scatterers, especially at higher momentum transfer. The usage of the software is demonstrated for the evaluation of scattering data of Au nanocubes with rounded edges, which were measured at the four-crystal monochromator beamline of PTB at the synchrotron radiation facility BESSY II in Berlin. The implementation is fast enough to run on a single desktop computer and perform model fits within minutes. The accuracy of the method was analyzed by comparison with analytically known form factors and verified with another implementation, the SPONGE, based on a similar principle with fewer approximations. Additionally, the SPONGE coupled to McSAS3 allows one to retrieve information on the uncertainty of the size distribution using a Monte Carlo uncertainty estimation algorithm. KW - X-ray scattering KW - SAXS KW - Non-spherical nanoparticles KW - Nanoparticles KW - Nanomaterials KW - Debye scattering equation KW - Simulation KW - Data fitting PY - 2022 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-557652 DO - https://doi.org/10.1107/S160057672200499X VL - 55 IS - Pt 4 SP - 993 EP - 1001 PB - International Union of Crystallography CY - Chester, England AN - OPUS4-55765 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Chambers, M. S. A1 - Hunter, R. D. A1 - Hollamby, M. J. A1 - Pauw, Brian Richard A1 - Smith, A. J. A1 - Snow, T. A1 - Danks, A. E. A1 - Schnepp, Z. T1 - In Situ and Ex Situ X‑ray Diffraction and Small-Angle X‑ray Scattering Investigations of the Sol−Gel Synthesis of Fe3N and Fe3C N2 - Iron nitride (Fe3N) and iron carbide (Fe3C) nanoparticles can be prepared via sol−gel synthesis. While sol−gel methods are simple, it can be difficult to control the crystalline composition, i.e., to achieve a Rietveld-pure product. In a previous in situ synchrotron study of the sol−gel synthesis of Fe3N/Fe3C, we showed that the reaction proceeds as follows: Fe3O4 → FeOx → Fe3N → Fe3C. There was considerable overlap between the different phases, but we were unable to ascertain whether this was due to the experimental setup (side-on heating of a quartz capillary which could lead to thermal gradients) or whether individual particle reactions proceed at different rates. In this paper, we use in situ wide- and small-angle X-ray scattering (wide-angle X-ray scattering (WAXS) and small-angle X-ray scattering (SAXS)) to demonstrate that the overlapping phases are indeed due to variable reaction rates. While the initial oxide nanoparticles have a small range of diameters, the size range expands considerably and very rapidly during the oxide−nitride transition. This has implications for the isolation of Rietveld-pure Fe3N, and in an extensive laboratory study, we were indeed unable to isolate phasepure Fe3N. However, we made the surprising discovery that Rietveld-pure Fe3C nanoparticles can be produced at 500 °C with a sufficient furnace dwell time. This is considerably lower than the previous reports of the sol−gel synthesis of Fe3C nanoparticles. KW - Small-angle X-ray Scattering KW - SAXS KW - Diffraction KW - XRD KW - Scattering KW - Sol-gel KW - Iron nitride KW - Nanoparticles KW - Iron carbide KW - Catalyst KW - In-situ KW - Ex-situ KW - Synthesis KW - Synchrotron PY - 2022 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-548226 DO - https://doi.org/10.1021/acs.inorgchem.1c03442 VL - 61 IS - 18 SP - 6742 EP - 6749 PB - ACS Publications CY - Washington AN - OPUS4-54822 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Pauw, Brian Richard T1 - The SPONGE v.1.0.0: Modeling scattering of shapes by STL input, with absolute intensities and size distribution. N2 - Simulates X-ray and Neutron scattering patterns from arbitrary shapes defined by STL files. Features: - Uses multithreading to compute a number of independent solutions, then uses the variance of the results to estimate an uncertainty on the output. - Can be launched from the command line using an excel sheet to define settings, or from a jupyter notebook. - Outputs scattering patterns in absolute units if the contrast is set. - A Gaussian size distribution is available, where the relative scaling of objects for each repetion can be varied. Recommended to be used with limited width (max. 10%) to avoid artefacts. - Writes results with settings to an archival HDF5 file. Application examples: This software has been used in several studies to date. For example, it has been used here to simulate a model scattering pattern for a cuboid shape, which was then fed forward into the McSAS3 analysis program for analyzing scattering patterns of polydisperse cuboids. A second use is here, where it was used for the modeling of flattened helices. In this paper, scattering pattern features could be matched with particular morphological changes in the structure. Lastly, this paper has an example where it was used to validate the analytical analysis model, and explore the realistic limits of application of the analytical model. KW - Software KW - Scattering pattern analysis KW - Scattering pattern simulation KW - X-ray KW - Neutron KW - Command-line interface KW - Scattering pattern KW - STL file input KW - Python KW - Arbitrary shapes PY - 2023 DO - https://doi.org/10.6084/m9.figshare.21857130.v1 PB - Digital Science CY - Cambridge, MA, USA AN - OPUS4-56815 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Krauss, S. W. A1 - Eckardt, M. A1 - Will, J. A1 - Spiecker, E. A1 - Siegel, R. A1 - Dulle, M. A1 - Schweins, R. A1 - Pauw, Brian Richard A1 - Senker, J. A1 - Zobel, M. T1 - H-D-isotope effect of heavy water affecting ligand-mediated nanoparticle formation in SANS and NMR experiments N2 - An isotopic effect of normal (H2O) vs. heavy water (D2O) is well known to fundamentally affect structure and chemical properties of proteins, for instance. Here we correlate results from small angle X-ray and neutron scattering (SAXS, SANS) with high-resolution scanning transmission electron microscopy to track the evolution of CdS nanoparticle size and crystallinity from aqeuous solution in presence of the organic ligand ethylenediaminetetraacetate (EDTA) at room temperature in both H2O and D2O. We provide evidence via SANS experiments that exchanging H2O by D2O impacts nanoparticle formation by changing the equilibria and dynamics of EDTA clusters in solution as investigated by nuclear magnetic resonance. The colloidal stability of the CdS nanoparticles, covered by a layer of [Cd(EDTA)]2- complexes, is significantly reduced in D2O despite the strong stabilizing effect of EDTA in suspensions of normal water. Hence, conclusions about nanoparticle formation mechanisms from D2O solutions can bare limited transferability to reactions in normal water due to isotopic effects, which thus need to be discussed for contrast match experiments. KW - General Materials Science KW - Quantum dots KW - CdS KW - Deuterium KW - X-ray scattering KW - MOUSE PY - 2023 DO - https://doi.org/10.1039/D3NR02419A SN - 2040-3364 VL - 15 IS - 40 SP - 16413 EP - 16424 PB - Royal Society of Chemistry (RSC) AN - OPUS4-58294 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - Everything SAXS Part 1: Introduction, Sample Requirements and Measurement "Space" N2 - This talk for the Swiss Society for Crystallography (SSCr) workshop on SAXS will introduce scattering from various angles, focusing in particular on: - Information content of X-ray scattering experiments, three entry points… - An introduction to Fourier Transforms - Sample criteria, compatibility, and selection - Key indicators of a measurement – where is the information? - Key indicators of measurement quality - Experiment planning, the basics T2 - Topical workshop of the Swiss Society for Crystallography CY - Zurich, Switzerland DA - 08.09.2023 KW - X-ray scattering KW - Data stewardship KW - Measurement science KW - MOUSE KW - Holistic experiment approaches PY - 2023 AN - OPUS4-58235 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - Everything SAXS Part 2: Data Processing, Workflow and Pitfalls N2 - The second talk for the Swiss Society for Crystallography (SSCr) workshop on SAXS will highlight the data processing challenges, holistic experimental workflow developments, and the pitfalls. In particular, the following items will be addressed: - The importance of data processing and estimating uncertainty - A universal correction pipeline – away with the headaches, at least for this step! - Experiment planning part 2, some tips and advice to improve your corrected data. - Sample preparation, background selection, some tips and advice to improve your corrected data. - Automate for your mental well-being; electronic logbooks, measurement catalogs and workflow management software - Life on the edge: several pitfalls to avoid… T2 - Topical workshop of the Swiss Society for Crystallography CY - Zurich, Switzerland DA - 08.09.2023 KW - X-ray scattering KW - MOUSE KW - Data processing KW - Uncertainties KW - Pitfalls PY - 2023 AN - OPUS4-58236 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Pauw, Brian Richard T1 - Trinamic TMCL IOC for exposing Trinamics motor controllers to EPICS CA N2 - Trinamic TMCL IOC is a Python package designed for controlling stepper motors connected to a Trinamic board using the TMCL language (all boards supported by PyTrinamic should now work, has been tested on the TMCM 6110 and the TMCM 6214). Since it is implementing the TMCL protocol, it should be easy to adapt to other Trinamic motor controller boards. This package assumes the motor controller is connected over a machine network via a network-to-serial converter, but the underlying PyTrinamic package allows for other connections too. This allows the control of attached motors via the EPICS Channel-Access virtual communications bus. If EPICS is not desired, plain Pythonic control via motion_control should also be possible. An example for this will be provided in the example.ipynb Jupyter notebook. This package leverages Caproto for EPICS IOCs and a modified PyTrinamic library for the motor board control, and interfaces between the two via an internal set of dataclasses. Configuration for the motors and boards are loaded from YAML files (see tests/testdata/example_config.yaml). The modifications to PyTrinamic involved extending their library with a socket interface. This was a minor modification that should eventually find its way into the official package (a pull request has been submitted). KW - Instrumentation KW - Motor controller KW - EPICS KW - Channel access KW - Instrument control KW - Laboratory automation PY - 2024 DO - https://doi.org/10.5281/zenodo.10792593 PB - Zenodo CY - Geneva AN - OPUS4-59624 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - The Dark Side of Science (2023 edition) N2 - An introductory lecture on the Dark Side of Science; what it is, why it exists, and what can be done to fight it. This lecture illuminates the increasing prevalence of fraudulent scientific work (e.g. faked data, manipulated images, paper mills) with plenty of examples and sources. The second section expands on the driving forces that caused this phenomenon to emerge, largely driven by pressures from management, peers and the researcher themselves. The third section expands on methods and tools that can be used to educate and arm oneself against this phenomenon. The 2023 edition includes new examples of larger fraudulent bodies of work emerging, and the problems posed by the arrival of LLMs. T2 - Lecture series on "Information management" CY - Berlin, Germany DA - 27.11.2023 KW - Research fraud KW - Scientific misconduct KW - Paper mills KW - Metrics-driven science KW - Image manipulation KW - Faked research PY - 2023 AN - OPUS4-58925 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Pauw, Brian Richard T1 - dataMerge V0.1 - A statistics-aware binning and merging backend N2 - A tool for merging and/or rebinning single or multiple datasets to achieve a lower point density with best possible statistics. highly scriptable, CLI, no GUI Version 0.1: works but could do with a cleanup. Weighting by uncertainty currently always on, but should be optional for use as an azimuthal or radial averager KW - X-ray science KW - Image averaging KW - Dataset merging KW - Photon counting detectors KW - SAXS KW - SANS KW - X-ray scattering KW - X-ray diffraction PY - 2022 DO - https://doi.org/10.6084/m9.figshare.21591360 PB - Digital Science CY - Cambridge, MA, USA AN - OPUS4-56340 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - INPR A1 - Baloh, P. A1 - Bauer, L. A1 - Bendová, A. A1 - Čermák, P. A1 - Fellner, K. A1 - Ghanathe, M. A1 - Hernández Alvarez, O. E. A1 - Hricov, Š. A1 - Jochum, J. K. A1 - Kotvytska, L. A1 - Kumar, S. A1 - Labh, A. A1 - Machovec, P. A1 - Pauw, Brian Richard A1 - Ramszová, K. A1 - Walz, E. A1 - Wild, P. T1 - An exercise in open data: Triple axis data on Si single crystal N2 - Efforts are rising in opening up science by making data more transparent and more easily available, including the data reduction and evaluation procedures and code. A strong foundation for this is the F.A.I.R. principle, building on Findability, Accessibility, Interoperability, and Reuse of digital assets, complemented by the letter T for trustworthyness of the data. Here, we have used data, which was made available by the Institute Laue-Langevin and can be identified using a DOI, to follow the F.A.I.R.+T. principle in extracting, evaluating and publishing triple axis data, recorded at IN3. KW - Open data KW - Neutron diffraction KW - Analysis KW - Open science PY - 2022 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-562257 DO - https://doi.org/10.48550/arXiv.2010.12086 SN - 2331-8422 SP - 1 EP - 4 PB - Cornell University CY - Ithaca, NY AN - OPUS4-56225 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - Searching for harmony in metrology: Examples from SAXS N2 - General SAXS introductory talk given at Keele University (UK) on the 30th of November, 2016. T2 - Invited talk, special seminar CY - Staffordshire, UK DA - 30.11.2016 KW - SAXS KW - Metrology KW - Small-angle X-ray scattering PY - 2016 AN - OPUS4-38701 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - McSAS for SAS analysis: Usage, Benefits and Potential Pitfalls N2 - An introductory lecture for users at the Diamond Light Source, on how to use the McSAS software to analyze their data. T2 - Small Angle Scattering Training School CY - Diamond Light Source, Didcot, United Kingdom DA - 04.06.2018 KW - Small-angle scattering KW - Software KW - Analysis PY - 2018 AN - OPUS4-46517 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - How good is SAXS? Results from a large Round Robin on an easy sample N2 - 22 laboratories returned 45 small-angle scattering datasets on a suspension of silver nanoparticles. The variance of the results has been analyzed in order to estimate the expected accuracy and precision of the small-angle scattering technique. T2 - XVII International Small Angle Scattering Conference - SAS2018 CY - Traverse City, Michigan, USA DA - 07.10.2018 KW - Small-angle scattering KW - Round Robin KW - Silver nanoparticles KW - Quality KW - McSAS PY - 2018 AN - OPUS4-46518 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - AI/ML starts with data, …a practical example N2 - A brief introduction to the efforts we have done in our lab towards AI/ML analysis of SAXS data. For this, we need to extend the data with an extensive, structured hierarchy of metadata and associated data. A practical look into the information stored in our files, and the organization of the files in a data catalog is presented. T2 - Benchmarking for AI for Science at the Exascale A2 Workshop for Materials Science CY - Online meeting DA - 23.11.2020 KW - Small angle scattering KW - Machine learning KW - Data organization KW - Data curation KW - Metadata structuring PY - 2020 AN - OPUS4-51660 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - X-ray generation N2 - This talk was recorded during the 2020 Better with Scattering workshop held at BAM in Berlin. This educational talk explains the various ways in which X-rays can be generated in the lab as well as at the synchrotron, with benefits and drawbacks for all. T2 - Better with Scattering workshop 2020 CY - BAM, Berlin, Germany DA - 16.03.2020 KW - Small angle scattering KW - X-ray instrumentation KW - X-ray generation PY - 2020 UR - https://www.youtube.com/watch?v=Hze3PvcK7es AN - OPUS4-51016 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - A brief history of scattering N2 - Recorded on the first day of the Better with Scattering workshop. In this video, I explore some of the highlights of the development of small-angle X-ray scattering over its long history. I discuss developments on the technical side, analytical methods, detectors, data quality and data management. T2 - Better with Scattering workshop 2020 CY - BAM, Berlin, Germany DA - 16.03.2020 KW - Small angle scattering KW - History PY - 2020 UR - https://www.youtube.com/watch?v=mFH6P4tZbyM AN - OPUS4-51015 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - Basics and applications of good SAXS: Quantifying the fine structure of lots of materials N2 - In contrast to the crisp, clear images you can get from electron microscopy, small-angle X-ray scattering (SAXS) patterns are rather featureless. These patterns, however, contain averaged structural information of all of the finest material structures that were illuminated by the X-ray beam. With careful and precise investigation, and supplementary information from complementary techniques, this bulk material structure can be quantified to reveal structural information spanning four or even five decades in size. Additionally, while the data correction and analysis is complex, sample preparation is very straightforward, also allowing for in-situ and operando measurements to be performed without breaking a sweat. In the right hands, then, this technique can be the most powerful tool in your analytical arsenal. T2 - OpTecBB webinar within the scope of the focus area Optical Analytics CY - Online meeting DA - 27.05.2020 KW - Small-angle scattering KW - Introduction KW - Application KW - Saxs KW - Nanomaterials KW - Nanostructure PY - 2020 UR - https://www.youtube.com/watch?v=mXkYL3dSsTY UR - https://optecbb.de/veranstaltungen/veranstaltung/webinar-basics-and-applications-of-good-saxs-1238/ AN - OPUS4-50879 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - Everything and the kitchen sink: correcting X-ray data for everything N2 - Recorded at the Better with Scattering workshop 2020, this talk highlights the complete set of data correction steps that we do for the MAUS, and how they can be used elsewhere too. This links well with the talk in this series by Dr. Tim Snow, and also highlights the details of the background subtraction that needs to be done. T2 - Better with Scattering workshop 2020 CY - BAM, Berlin, Germany DA - 16.03.2020 KW - Small angle scattering KW - Data corrections PY - 2020 UR - https://www.youtube.com/watch?v=Hp4qziOxZFk AN - OPUS4-51018 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - Nanoscience, SAXS and you N2 - A presentation demonstrating small-angle x-ray scattering and its applications. T2 - Invited talk CY - Deutsches GeoForschungsZentrum, Potsdam, Germany DA - 19.01.2017 KW - SAXS KW - Nanoscience PY - 2017 AN - OPUS4-39136 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Hollamby, M. J. A1 - Aratsu, K. A1 - Pauw, Brian Richard A1 - Rogers, S. E. A1 - Smith, A. J. A1 - Yamauchi, M. A1 - Lin, X. A1 - Yagai, S. T1 - Simultaneous SAXS and SANS Analysis for the Detection of Toroidal Supramolecular Polymers Composed of Noncovalent Supermacrocycles in Solution N2 - Molecular self-assembly primarily occurs in solution. To better understand this process, techniques capable of probing the solvated state are consequently required. Smallangle scattering (SAS) has a proven ability to detect and characterize solutions, but it is rarely applied to more complex assembly shapes. Here, small-angle X-ray and neutron scattering are applied to observe toroidal assemblies in solution. Combined analysis confirms that the toroids have a core–shell structure, with a p-conjugated core and an alkyl shell into which solvent penetrates. The dimensions determined by SAS agree well with those obtained by (dried-state) atomic force microscopy. Increasing the number of naphthalene units in the molecular building block yields greater rigidity, as evidenced by a larger toroid and a reduction in solvent penetration into the shell. The detailed structural analysis demonstrates the applicability of SAS to monitor complex solution-based selfassembly. KW - Nanorings KW - Self-assembly KW - Small-angle scattering KW - Supramolecular chemistry KW - Toroids PY - 2016 DO - https://doi.org/10.1002/anie.201603370 SN - 1433-7851 SN - 1521-3773 IS - 128 SP - 10044 EP - 10047 PB - Wiley-VCH Verlag GmbH CY - Weinheim AN - OPUS4-37144 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - INPR A1 - Pauw, Brian Richard A1 - Laskina, Sofya A1 - Naik, Aakash A1 - Smales, Glen Jacob A1 - George, Janine A1 - Breßler, Ingo A1 - Benner, Philipp T1 - "Ultima Ratio": Simulating wide-range X-ray scattering and diffraction N2 - We demonstrate a strategy for simulating wide-range X-ray scattering patterns, which spans the small- and wide scattering angles as well as the scattering angles typically used for Pair Distribution Function (PDF) analysis. Such simulated patterns can be used to test holistic analysis models, and, since the diffraction intensity is on the same scale as the scattering intensity, may offer a novel pathway for determining the degree of crystallinity. The "Ultima Ratio" strategy is demonstrated on a 64-nm Metal Organic Framework (MOF) particle, calculated from Q < 0.01 1/nm up to Q < 150 1/nm, with a resolution of 0.16 Angstrom. The computations exploit a modified 3D Fast Fourier Transform (3D-FFT), whose modifications enable the transformations of matrices at least up to 8000^3 voxels in size. Multiple of these modified 3D-FFTs are combined to improve the low-Q behaviour. The resulting curve is compared to a wide-range scattering pattern measured on a polydisperse MOF powder. While computationally intensive, the approach is expected to be useful for simulating scattering from a wide range of realistic, complex structures, from (poly-)crystalline particles to hierarchical, multicomponent structures such as viruses and catalysts. KW - X-ray KW - Simulation KW - 3D Fourier Transform KW - High resolution KW - XRD KW - SAXS KW - PDF KW - Total scattering KW - X-ray scattering KW - Metal organic framework KW - Electron density map KW - FFT PY - 2023 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-572067 DO - https://doi.org/10.48550/arXiv.2303.13435 VL - Cornell University SP - 1 EP - 12 PB - Ithaca, NY AN - OPUS4-57206 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - Synthesizing a library of 1000+ reproducible MOFs N2 - While the synthesis of Metal-Organic Framework (MOF) particles can be as easy as adding two solutions together, reproducibly obtaining the same particles, time and time again, is a lot harder. As laboratory-independent reproducibility is a cornerstone of the scientific method, we must put effort into finding and controlling all necessary parameters to achieve this. An open-source Python/EPICS-controlled robotic platform (see picture) was adapted to systematically explore this for a 20 ml MOF synthesis of the Zeolitic Imidazole Framework-8 (ZIF-8) chemistry in methanol. Parameters that were explored included: 1) addition sequence, 2) addition speeds, 3) reaction times, 4) source chemicals, 5) stirring speeds, 6) stirring bar choice, 7) starting concentrations, and 8) workup methodologies. It was found that, by controlling these parameters, highly reproducible syntheses are obtained. Secondly, the variation of these parameters alone led to a dramatic difference in volume-weighted particle size means, which exceeds an order of magnitude as investigated by our in-house X-ray scattering instrument [1]. The syntheses are thoroughly documented in an automated fashion, and the synthesis libraries as well as analyses libraries will become available in batches soon. With this library, it will be possible to extract previously unknown correlations, and other laboratories can produce specific particles by following the exact procedures of the particles of their choice. T2 - 787. WE-Heraeus-Seminar: Accelerated Discovery of New Materials CY - Bad Honnef, Germany DA - 15.05.2023 KW - Metal organic frameworks KW - Automation KW - Lab automation KW - Robotic-supported synthesis KW - Reproducibility KW - Synthesis library KW - X-ray scattering KW - Particle size distribution PY - 2023 AN - OPUS4-57596 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - What’s that beyond the grasslands? Expanding your world view via wide-range X-ray scattering N2 - This talk introduces the expanded view that comes from wide-range X-ray scattering investigations. Compared to X-ray diffraction studies alone, the additional angular range of this technique provides information on the larger structural dimensions present in your samples. This allows for the extraction of information on the size and size distribution of nanostructural components, such as nanoparticles, nanovoids, and any other structure exhibiting an electron density contrast. The talk introduces the technique, the MOUSE instrument used for these investigations, and provides several real-world examples of its uses. The audience is invited to choose which examples captures their interest from a range of options, in the latter segment of the talk. T2 - ECS8: European Crystallography School 2023 CY - Berlin, Germany DA - 18.06.2023 KW - X-ray scattering KW - Introduction KW - Fourier transforms KW - Nanostructure investigation KW - Instrument automation KW - MOUSE PY - 2023 AN - OPUS4-57769 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard A1 - Breßler, Ingo T1 - 30.000+ datasets in an underground SciCat instance: the good, the bad, and the improvables. N2 - For the last four years, we have been running a SciCat instance to manage the projects and data in our X-ray scattering laboratory. We here report on the configuration of this SciCat instance, how it connects to the scientific workflow, and how it is integrated in the data pipeline. T2 - SciCat 2023 CY - Didcot, UK DA - 18.07.2023 KW - Scicat KW - X-ray scattering KW - Laboratory management KW - Research Data Management KW - Laboratory organization KW - RunDeck PY - 2023 AN - OPUS4-57958 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - McSAS3: live demo of a Monte Carlo data analyis package for scattering studies N2 - McSAS3 is a refactored software package for fitting large batches of (X-ray or Neutron) scattering data. It uses a Monte-Carlo acceptance-rejection algorithm to optimize model parameters - ideal for analysis of size-disperse scatterers. The refactored code can exploit multiprocessing, traceably stores (multiple) results in the output file, and allows for re-histogramming of previous optimizations. Besides analysis of large batches, it can also be integrated in automated data processing pipelines. The live demonstration will show how to use the software, what its limitations are, and what outcomes can look like for batches of results. T2 - SAS Analysis Course 2023 CY - Didcot, UK DA - 05.06.2023 KW - Scattering KW - Software KW - Analysis KW - Demonstration KW - McSAS3 KW - MOUSE KW - Monte Carlo KW - Automated analysis PY - 2023 AN - OPUS4-57630 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Wang, Z. A1 - Villa Santos, C. A1 - Legrand, A. A1 - Haase, F. A1 - Hara, Y. A1 - Kanamori, K. A1 - Aoyama, T. A1 - Urayama, K. A1 - Doherty, C. M. A1 - Smales, Glen Jacob A1 - Pauw, Brian Richard A1 - Colon, Y. J. A1 - Furukawa, S. T1 - Multiscale structural control of linked metal–organic polyhedra gel by aging-induced linkage-reorganization N2 - Assembly of permanently porous metal–organic polyhedra/cages (MOPs) with bifunctional linkers leads to soft supramolecular networks featuring both porosity and processability. However, the amorphous nature of such soft materials complicates their characterization and thus limits rational structural control. Here we demonstrate that aging is an effective strategy to control the hierarchical network of supramolecular gels, which are assembled from organic ligands as linkers and MOPs as junctions. Normally, the initial gel formation by rapid gelation leads to a kinetically trapped structure with low controllability. Through a controlled post-synthetic aging process, we show that it is possible to tune the network of the linked MOP gel over multiple length scales. This process allows control on the molecular-scale rearrangement of interlinking MOPs, mesoscale fusion of colloidal particles and macroscale densification of the whole colloidal network. In this work we elucidate the relationships between the gel properties, such as porosity and rheology, and their hierarchical structures, which suggest that porosity measurement of the dried gels can be used as a powerful tool to characterize the microscale structural transition of their corresponding gels. This aging strategy can be applied in other supramolecular polymer systems particularly containing kinetically controlled structures and shows an opportunity to engineer the structure and the permanent porosity of amorphous materials for further applications. KW - SAXS KW - Metal-organic polyhedra KW - Structural control PY - 2021 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-532309 DO - https://doi.org/10.1039/d1sc02883a SN - 1478-6524 SN - 1742-2183 VL - 12 IS - 38 SP - NIL_1 EP - NIL_9 PB - Royal Society of Chemistry CY - Cambridge AN - OPUS4-53230 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - Enhancing your SAXS with interleaved USAXS for less than 50 k€ N2 - A portable, inexpensive module is presented that can enhance good existing SAXS instruments by offering an extension on the angular range to include the ultra-small-angles. The instrument has been shown to work for interleaved SAXS/USAXS experiments. T2 - XVII International Small Angle Scattering Conference - SAS2018 CY - Traverse City, Michigan, USA DA - 07.10.2018 KW - Small-angle scattering KW - USAXS KW - Bonse Hart KW - Instrumentation KW - Data analysis PY - 2018 AN - OPUS4-46519 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - How to manage a modern X-ray scattering lab – a modest example N2 - Introduction A good laboratory organization can help address the reproducibility crisis in science, and easily multiply the scientific output of a laboratory, while greatly elevating the quality of the measurements. We have demonstrated this for small- and wide-angle X-ray scattering in the MOUSE project (Methodology Optimization for Ultrafine Structure Exploration). In the MOUSE, we have combined: a) a comprehensive laboratory workflow with b) a heavily modified, highly automated X-ray scattering instrument. This combination allows us to collect fully traceable scattering data, with a well-documented data flow (akin to what is found at the more automated beamlines). With two full-time researchers, the lab collects and interprets thousands of datasets, on hundreds of samples for dozens of projects per year, supporting many users along the entire process from sample selection and preparation, to the analysis of the resulting data. While these numbers do not light a candle to those achieved by our hardworking compatriots at the synchrotron beamlines, the laboratory approach does allow us to continually modify and fine-tune the integral methodology. So for the last three years, we have incorporated e.g. FAIR principles, traceability, automated processing, data curation strategies, as well as a host of good scattering practices into the MOUSE system. We have concomitantly expanded our purview as specialists to include an increased responsibility for the entire scattering aspect of the resultant publications. This ensures full exploitation of the data quality, whilst avoiding common pitfalls. Talk scope This talk will present the MOUSE project as implemented to date, and will introduce foreseeable upgrades and changes. These upgrades include better pre-experiment sample scattering predictions to filter projects on the basis of their suitability, exploitation of the measurement database for detecting long-term changes and automated flagging of datasets, extending the measurement range through an Ultra-SAXS module, and enhancing MC fitting with sample scattering simulations for better matching of odd-shaped scatterers. T2 - 2021 joint virtual meeting of the African Light Source (AfLS), the African Physical Society (AfPS), and Pan African Conference on Crystallography (ePCCr) CY - Online meeting DA - 15.11.2021 KW - X-ray scattering KW - MOUSE KW - Instrumentation KW - SAXS KW - Methodology KW - Laboratory management KW - Databases KW - Data management KW - Data catalog KW - Scicat PY - 2021 UR - https://events.saip.org.za/event/170/contributions/7619/ AN - OPUS4-53811 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - Better with Scattering Part 1: Fundamentals of X-ray scattering N2 - Today's speaker is a young scientist whose research on all aspects of small-angle scattering has taken him from his birthplace in Netherlands, to Denmark, Japan and now Germany. His research has led to a new method and software for scattering pattern analysis, a comprehensive set of data corrections together with the Diamond Light Source, and a new ultra-SAXS plug-in instrument. For the last few years, he has been working on a comprehensive and universal methodology to get high-quality X-ray scattering measurements for any sample, using his new instrument at the institute. This instrument has now been heavily modified both in hardware and software, so that it can deliver better data. These developments are always driven by interesting collaborations with materials researchers and other scientists. As a joint member he has published works on a wide variety of materials, including self-assembled structures in liquids, composite materials and porous carbon catalysts. He has also been very active in outreach, for example by co-organizing an online lecture series called ‘#the Light Stuff’ on scattering and diffraction, running the ‘looking at nothing’ weblog, hosting a yearly introductory scattering course, and he has many scattering-related lectures available on YouTube. Our distinguished speaker is Dr. Brian Richard Pauw from the Federal Institute for Materials Research and Testing in Germany. I proudly invite Dr. Pauw to begin his talk T2 - The first training course on the principles & application of X-ray scattering in nanomaterials CY - Online meeting DA - 28.04.2021 KW - X-ray scattering KW - Methodology KW - MOUSE KW - Introduction KW - Theory PY - 2021 AN - OPUS4-53275 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - Better with Scattering Part 2: Nanostructural investigations with X-ray scattering N2 - Today's speaker is a young scientist whose research on all aspects of small-angle scattering has taken him from his birthplace in Netherlands, to Denmark, Japan and now Germany. His research has led to a new method and software for scattering pattern analysis, a comprehensive set of data corrections together with the Diamond Light Source, and a new ultra-SAXS plug-in instrument. For the last few years, he has been working on a comprehensive and universal methodology to get high-quality X-ray scattering measurements for any sample, using his new instrument at the institute. This instrument has now been heavily modified both in hardware and software, so that it can deliver better data. These developments are always driven by interesting collaborations with materials researchers and other scientists. As a joint member he has published works on a wide variety of materials, including self-assembled structures in liquids, composite materials and porous carbon catalysts. He has also been very active in outreach, for example by co-organizing an online lecture series called ‘#the Light Stuff’ on scattering and diffraction, running the ‘looking at nothing’ weblog, hosting a yearly introductory scattering course, and he has many scattering-related lectures available on YouTube. Our distinguished speaker is Dr. Brian Richard Pauw from the Federal Institute for Materials Research and Testing in Germany. I proudly invite Dr. Pauw to begin his talk. T2 - The first training course on the principles & application of X-ray scattering in nanomaterials CY - Online meeting DA - 28.04.2021 KW - X-ray scattering KW - Methodology KW - MOUSE KW - Practical examples KW - Automation KW - Data organization PY - 2021 AN - OPUS4-53276 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - More of the same, please! Standardizing a perfectionist X-ray Scattering methodology for labs and synchrotrons N2 - After a colleague sent me a more useful measurement from a laboratory instrument than what I could get from the beamline, I knew it was time to reassess my life's choices. Over the course of several subsequent post-doc and permanent positions around lab instruments, I managed to refine a flexible, comprehensive methodology for data collection, correction and analysis which can be applied to many X-ray scattering investigations at the lab and at the synchrotron. With the help of friends at round places, this methodology was implemented and put into production, and has been delivering high-quality data since then. Now, we have almost all possible data corrections (for X-ray scattering) implemented, and are improving the hardware to deliver higher-quality metadata to enable the corrections to be performed to a higher accuracy. Simultaneously, we have set up a mini-large facility at BAM with the MAUS, the Multi-scale Analyzer for Ultrafine Structures. The MAUS combines the freedom of a laboratory instrument, with the spectrum of users of a beamline: besides measuring our own samples, and performing our own machine and methodology developments, we have opened this instrument for collaboration with fellow scientists from within BAM and from external institutes and universities. Here, we provide a comprehensive support for these collaborations, guiding the user from concept to sample selection, to interpretation and analysis. In 2019, we have supported over 30 different projects this way, leading to seven co-authored publications involving the MAUS in that year alone. As the MAUS uses the latest iteration of our comprehensive measurement methodology, the data quality is unmatched by any other lab instrument, and fully traceable to boot. The freedom of the laboratory allows for more proof-of-principle experimentation than what is possible at the synchrotron. Therefore, the MAUS provides a good first (and sometimes final) step towards many experimental materials science investigations, nicely complementing the capabilities of the synchrotron. If and when more flux is needed, the step to the synchrotron is now smaller than ever, in particular with the same method T2 - Symposium on large scale facilities CY - BAM, Berlin, Germany DA - 09.03.2020 KW - Small angle scattering KW - Methodology KW - X-ray scattering PY - 2020 AN - OPUS4-51014 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - The Meticulous Approach: Fully traceable X-ray scattering data via a comprehensive lab methodology N2 - To find out if experimental findings are real, you need to be able to repeat them. For a long time, however, papers and datasets could not necessarily include sufficient details to accurately repeat experiments, leading to a reproducibility crisis. It is here, that the MOUSE project (Methodology Optimization for Ultrafine Structure Exploration) tries to implement change – at least for small- and wide-angle X-ray scattering (SAXS/WAXS). In the MOUSE project, we have combined: a) a comprehensive laboratory workflow with b) a heavily modified, highly automated Xenocs Xeuss 2.0 instrumental component. This combination allows us to collect fully traceable scattering data, with a well-documented data flow (akin to what is found at the more automated beamlines). With two full-time researchers, the lab collects and interprets thousands of datasets, on hundreds of samples for dozens of projects per year, supporting many users along the entire process from sample selection and preparation, to the analysis of the resulting data. While these numbers do not light a candle to those achieved by our hardworking compatriots at the synchrotron beamlines, the laboratory approach does allow us to continually modify and fine-tune the integral methodology. So for the last three years, we have incorporated e.g. FAIR principles, traceability, automated processing, data curation strategies, as well as a host of good scattering practices into the MOUSE system. We have concomitantly expanded our purview as specialists to include an increased responsibility for the entire scattering aspect of the resultant publications, to ensure full exploitation of the data quality, whilst avoiding common pitfalls. This talk will discuss the MOUSE project1 as implemented to date, and will introduce foreseeable upgrades and changes. These upgrades include better pre-experiment sample scattering predictions to filter projects on the basis of their suitability, exploitation of the measurement database for detecting long-term changes and automated flagging of datasets, and enhancing MC fitting with sample scattering simulations for better matching of odd-shaped scatterers. T2 - S4SAS CY - Online meeting DA - 01.09.2021 KW - X-ray scattering KW - Methodology KW - MOUSE KW - Data organization KW - Automation KW - Traceability PY - 2021 AN - OPUS4-53273 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Pauw, Brian Richard A1 - Smales, Glen Jacob T1 - Complete set of raw and processed datasets, as well as associated Jupyter notebooks for analysis, associated with manuscript entitled: "The MOUSE project: a practical approach for obtaining traceable, wide-range X-ray scattering information" N2 - This dataset is a complete set of raw, processed and analyzed data, complete with Jupiter notebooks, associated with the manuscript mentioned in the title. In the manuscript, we provide a "systems architecture"-like overview and detailed discussions of the methodological and instrumental components that, together, comprise the "MOUSE" project (Methodology Optimization for Ultrafine Structure Exploration). Through this project, we aim to provide a comprehensive methodology for obtaining the highest quality X-ray scattering information (at small and wide angles) from measurements on materials science samples. KW - X-ray scattering KW - Measurement methodology KW - Traceability derivation KW - Multi-scale measurements KW - Systems architecture KW - Nanomaterials PY - 2020 DO - https://doi.org/10.5281/zenodo.4312953 PB - Zenodo CY - Geneva AN - OPUS4-51825 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard A1 - Smales, Glen Jacob T1 - The SPONGE N2 - This software tool is intended to calculate X-ray scattering patterns from 3D objects described by an STL file. The fundamentals and use example(s) are shown. T2 - Better with Scattering workshop 2020 CY - BAM, Berlin, Germany DA - 16.03.2020 KW - Small angle scattering KW - Software KW - Simulation PY - 2020 AN - OPUS4-51020 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Smales, Glen Jacob A1 - Pauw, Brian Richard T1 - The MOUSE project - A meticulous approach for obtaining traceable, wide-range X-ray scattering information N2 - Herein, we provide a "systems architecture"-like overview and detailed discussions of the methodological and instrumental components that, together, comprise the "MOUSE" project (Methodology Optimization for UltrafineStructure Exploration). The MOUSE project provides scattering information on a wide variety of samples, with traceable dimensions for both the scattering vector (q) and the absolute scattering cross-section (I). The measurable scattering vector-range of 0.012≤ q (nm-1) ≤ 92, allows information across a hierarchy of structures with dimensions ranging from ca. 0.1 to 400 nm. In addition to details that comprise the MOUSE project, such as the organisation and traceable aspects, several representative examples are provided to demonstrate its flexibility. These include measurements on alumina membranes, the tobacco mosaic virus, and dual-source information that overcomes fluorescence limitations on ZIF-8 and iron-oxide-containing carbon catalyst materials. KW - X-ray scattering KW - MOUSE KW - Instrumentation KW - SAXS KW - Methodology KW - Traceability KW - Wide-range KW - Data curation KW - FAIR KW - Uncertainties KW - Nanomaterials KW - Nanometrology PY - 2021 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-528669 DO - https://doi.org/10.1088/1748-0221/16/06/P06034 VL - 16 IS - 6 SP - 1 EP - 50 PB - IOP CY - Bristol, UK AN - OPUS4-52866 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - X-ray Scattering for Nanostructure Quantification, and the Quest for the Perfect Experiment N2 - Compared to the clear, real-space images you can get from electron microscopy, X-ray scattering patterns are rather featureless. These patterns, however, contain structural information from all of the material structure illuminated by the X-ray beam. With this technique, you can measure nanoparticle dispersions, catalysts, composites, MOF powders, battery materials, light metal alloys and gels to reveal information on the structural features found within these materials. We have even measured many such materials for several research groups from the University of Birmingham, revealing structure features in the sub-nm to the micrometer range. Measuring an X-ray scattering pattern is relatively easy, but measuring a high-quality, useful pattern requires significant effort and good laboratory organization. Such laboratory organization can help address the reproducibility crisis in science, and easily multiply the scientific output of a laboratory, while greatly elevating the quality of the measurements. We have demonstrated this for small- and wide-angle X-ray scattering in the MOUSE project (Methodology Optimization for Ultrafine Structure Exploration) [1]. With the MOUSE, we have combined: a) a comprehensive and highly automated laboratory workflow with b) a heavily modified X-ray scattering instrument. This combination allows us to collect fully traceable scattering data, within a well-documented, FAIR-compliant data flow (akin to what is found at the more automated synchrotron beamlines). With two full-time researchers, our lab collects and interprets thousands of datasets, on hundreds of samples, for dozens of projects per year, supporting many users along the entire process from sample selection and preparation, to the analysis of the resulting data. T2 - School of Chemistry Seminars CY - Birmingham, UK DA - 10.11.2021 KW - X-ray scattering KW - MOUSE KW - Instrumentation KW - SAXS KW - Methodology KW - Nanostructure PY - 2021 UR - https://www.youtube.com/watch?v=N2kY4wbqeM4 AN - OPUS4-53810 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - What is in X-ray scattering Data? An overview of features. N2 - During the Better with Scattering 2021 workshop, we discuss what information can be obtained from an X-ray scattering pattern. Examples of structural features and their physical expression in scattering patterns are demonstrated. T2 - Better with Scattering workshop 2021 CY - Online meeting DA - 29.11.2021 KW - Scattering KW - SAXS KW - X-ray scattering KW - Data analysis KW - Data interpretation KW - Fourier transforms PY - 2021 AN - OPUS4-54011 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard T1 - "Ultima Ratio": Multi-scale, high-resolution 3D-FFT scattering pattern simulations N2 - This talk highlights a proof-of-concept that demonstrates the ability to calculate high-resolution Fourier transforms. These can be combined with multi-scale modeling to simulate scattering over a wide range, from small-angle scattering to XRD and PDF. T2 - Shapespyer/MuSSIC Launch Workshop CY - Didcot, UK DA - 20.02.2023 KW - X-ray scattering KW - Simulation KW - Fourier Transform KW - 3D KW - High resolution KW - Multi-scale PY - 2023 AN - OPUS4-57031 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -