TY - JOUR A1 - Yin, Huajie A1 - Chapala, P. A1 - Bermeshev, M. A1 - Pauw, Brian Richard A1 - Schönhals, Andreas A1 - Böhning, Martin T1 - Influence of Trimethylsilyl Side Groups on the Molecular Mobility and Charge Transport in Highly Permeable Glassy Polynorbornenes N2 - Superglassy polymers with a large fractional free volume have emerged as novel materials with a broad range of applications, especially in the field of membrane separations. Highly permeable addition-type substituted polynorbornenes with high thermal resistance and chemical stability are among the most promising materials. The major obstacle for extending the practical membrane application is their strong tendency to physical aging, leading to a partial decline in their superior transport performance over time. In the present study, broadband dielectric spectroscopy with complementary X-ray scattering techniques were employed to reveal changes in microporous structure, molecular mobility, and conductivity by systematic comparison of two polynorbornenes with different numbers of trimethylsilyl side groups. Their response upon heating (aging) was compared in terms of structure, dynamics, and charge transport behavior. Furthermore, a detailed analysis of the observed Maxwell−Wagner−Sillars polarization at internal interfaces provides unique information about the microporous structure in the solid films. The knowledge obtained from the experiments will guide and unlock potential in synthesizing addition-type polynorbornenes with versatile properties. KW - Dielectric spectroscopy KW - Molecular mobility KW - Electrical conductivity KW - Gas separation membranes PY - 2019 DO - https://doi.org/10.1021/acsapm.9b00092 SN - 2637-6105 VL - 1 IS - 4 SP - 844 EP - 855 PB - ACS CY - Washington DC AN - OPUS4-47838 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Pauw, Brian Richard A1 - Hörmann, Anja 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 A1 - Breßler, Ingo A1 - Smales, Glen Jacob A1 - Laskina, Sofya A1 - Snow, T. A1 - Smith, A. 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 - GEN A1 - Pauw, Brian Richard A1 - Smales, Glen Jacob A1 - Moeez, A. A1 - Hörmann, Anja A1 - Breßler, Ingo T1 - Example configurations and test cases for the Python HDF5Translator framework. N2 - This is a set of use examples for the HDF5Translator framework. This framework lets you translate measurement files into a different (e.g. NeXus-compatible) structure, with some optional checks and conversions on the way. For an in-depth look at what it does, there is a blog post here. The use examples provided herein are each accompanied by the measurement data necessary to test and replicate the conversion. The README.md files in each example show the steps necessary to do the conversion for each. We encourage those who have used or adapted one or more of these exampes to create their own conversion, to get in touch with us so we may add your example to the set. KW - Measurement data conversion KW - Data conversion KW - HDF5 KW - NeXus KW - NXsas KW - Framework KW - Python PY - 2024 DO - https://doi.org/10.5281/zenodo.10925971 PB - Zenodo CY - Geneva AN - OPUS4-59796 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard A1 - Breßler, Ingo A1 - Snow, T. A1 - Thünemann, Andreas T1 - Software- and instrument development for characterization of nano-(C)RMs N2 - This poster deals with improvements and characteriztion of small-angle scattering limitations, by looking at the trifecta of Data collection and uncertainty propagation, data analysis methodologies, and real-world tests. It is found that - with appropriate care and instrumentation - accuracies of 1% on mean nanomaterial sizes, and 10% on the size distribution width as well as the volume fraction can be achieved. T2 - BAM-PTB Workshop on Reference Nanomaterials CY - Berlin, Germany DA - 14.05.2018 KW - Small-angle scattering KW - Instrumentation KW - Methodology KW - MAUS KW - Data analysis KW - Data correction PY - 2018 AN - OPUS4-46107 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Pauw, Brian Richard A1 - Smith, A. J. A1 - Snow, T. A1 - Terril, N. J. A1 - Thünemann, Andreas T1 - The modular small-angle X-ray scattering data correction sequence N2 - Data correction is probably the least favourite activity amongst users experimenting with small-angle X-ray scattering: if it is not done sufficiently well, this may become evident only during the data analysis stage, necessitating the repetition of the data corrections from scratch. A recommended comprehensive sequence of elementary data correction steps is presented here to alleviate the difficulties associated with data correction, both in the laboratory and at the synchrotron. When applied in the proposed order to the raw signals, the resulting absolute scattering cross section will provide a high degree of accuracy for a very wide range of samples, with its values accompanied by uncertainty estimates. The method can be applied without modification to any pinhole-collimated instruments with photon-counting direct-detection area detectors. KW - Small-angle X-ray scattering KW - SAXS KW - Accuracy KW - Methodology KW - Data correction PY - 2017 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-432114 DO - https://doi.org/10.1107/S1600576717015096 SN - 1600-5767 VL - 50 IS - 6 SP - 1800 EP - 1811 PB - International Union of Crystallography AN - OPUS4-43211 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Pauw, Brian Richard A1 - Kästner, Claudia A1 - Thünemann, Andreas T1 - Nanoparticle size distribution quantification: results of a small-angle X-ray scattering inter-laboratory comparison N2 - This paper presents the first worldwide inter-laboratory comparison of small-angle X-ray scattering (SAXS) for nanoparticle sizing. The measurands in this comparison are the mean particle radius, the width of the size distribution and the particle concentration. The investigated sample consists of dispersed silver nanoparticles, surrounded by a stabilizing polymeric shell of poly(acrylic acid). The silver cores dominate the X-ray scattering pattern, leading to the determination of their radius size distribution using (i) the generalized indirect Fourier transformation method, (ii) classical model fitting using SASfit and (iii) a Monte Carlo fitting approach using McSAS. The application of these three methods to the collected data sets from the various laboratories produces consistent mean number- and volume-weighted core radii of Rn = 2.76 (6) nm and Rv = 3.20 (4) nm, respectively. The corresponding widths of the lognormal radius distribution of the particles were σn = 0.65 (1) nm and σv = 0.71 (1) nm. The particle concentration determined using this method was 3.0 (4) g l−1 or 4.2 (7) × 10−6 mol l−1. These results are affected slightly by the choice of data evaluation procedure, but not by the instruments: the participating laboratories at synchrotron SAXS beamlines, commercial and in-house-designed instruments were all able to provide highly consistent data. This demonstrates that SAXS is a suitable method for revealing particle size distributions in the sub-20 nm region (at minimum), out of reach for most other analytical methods. KW - SAXS KW - Small-angle X-ray scattering KW - Silver nanoparticles PY - 2017 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-422800 DO - https://doi.org/10.1107/S160057671701010X SN - 1600-5767 VL - 50 IS - 5 SP - 1280 EP - 1288 PB - (IUCr) International Union of Crystallography AN - OPUS4-42280 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Smales, Glen Jacob A1 - Pauw, Brian Richard T1 - Technical Drawings for The MOUSE Modular Sample Holder N2 - OpenSCAD, STL and technical drawings for the Modular sample holder designed primarily for use with The MOUSE instruments. This modular sample holder can be used in conjunction with the following: - Capillary flow-cell for liquid samples (10.5281/zenodo.7499421) - Solid sample rack/plate (10.5281/zenodo.7499424) - Laser-cut sample holder (10.5281/zenodo.7499437) KW - X-ray scattering KW - SAXS KW - Sample holder KW - MOUSE PY - 2023 DO - https://doi.org/10.5281/zenodo.7499416 PB - Zenodo CY - Geneva AN - OPUS4-56775 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Smales, Glen Jacob A1 - Pauw, Brian Richard A1 - Kolmangadi, Mohamed Aejaz T1 - X-ray scattering datasets associated with the publication "Molecular Dynamics of Janus Polynorbornenes: Glass Transitions and Nanophase Separation" N2 - X-ray scattering datasets for samples described in the 2020 publication "Molecular Dynamics of Janus Polynorbornenes: Glass Transitions and Nanophase Separation". This dataset includes both raw and processed X-ray scattering data for samples PTCHSiO-Pr, Bu, Hx, Oc and De, alongside background measurements files (BKG). This data was collected using the MOUSE project (instrument and methodology). KW - X-ray scattering KW - SAXS KW - MOUSE KW - Alkyls KW - Polymers PY - 2023 DO - https://doi.org/10.5281/zenodo.7614835 PB - Zenodo CY - Geneva AN - OPUS4-56971 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Smales, Glen Jacob A1 - Pauw, Brian Richard A1 - Kolmangadi, Mohamed Aejaz T1 - X-ray scattering datasets associated with the publication "Molecular Mobility of Polynorbornenes with Trimethylsiloxysilyl side groups: Influence of the Polymerization Mechanism" N2 - X-ray scattering datasets for samples described in the 2022 publication "Molecular Mobility of Polynorbornenes with Trimethylsiloxysilyl side groups: Influence of the Polymerization Mechanism". This dataset includes both raw and processed X-ray scattering data for samples APTCN and MPTCN, alongside background measurements files (BKG). KW - X-ray scattering KW - SAXS KW - MOUSE KW - Membrane polymers KW - Microporous polymers PY - 2023 DO - https://doi.org/10.5281/zenodo.7621204 PB - Zenodo CY - Geneva AN - OPUS4-56972 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -