TY - CONF A1 - Pauw, Brian Richard T1 - The Dark Side of Science (2024 edition) N2 - This presentation highlights ongoing scientific misconduct as found in academic literature. This includes data- and image manipulation, and paper mills. Starting with an expose of examples, it delves deeper into the causes and metrics driving this phenomenon. Finally a range of possible tools is presented, that the young researcher can use to prevent themselves from sliding into the dark scientific methods. T2 - Winter School on Metrology and Nanomaterials for Clean Energy CY - Claviere, Italy DA - 28.01.2024 KW - Scientific misconduct KW - Data manipulation KW - Image manipulation KW - Paper mills KW - Causes leading to scientific misconduct KW - Tools to combat scientific misconduct KW - Metrics PY - 2024 AN - OPUS4-59622 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard A1 - Smales, Glen Jacob T1 - X-ray Scattering USAXS/SAXS/WAXS (/XRD/PDF) N2 - A ten minute introduction to the technique of X-ray scattering. This talk discusses the foundation and the resulting morphological parameters that can be obtained from the technique. The talk is prepared for discussion within the framework of the OECD REACH guideline for nanomaterials. T2 - Digitaler Info-Tag "Nano or not Nano" CY - Berlin, Germany DA - 16.02.2023 KW - X-ray scattering KW - BAM Academy KW - SAXS KW - XRD KW - WAXS KW - Nanomaterial KW - REACH KW - OECD KW - Guideline PY - 2023 AN - OPUS4-57013 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard A1 - Smales, Glen Jacob 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 - Smales, Glen Jacob A1 - Chambers, Aaron P. A. A1 - Breßler, Ingo T1 - A holistic experiment chain for scattering-powered materials science investigations N2 - In our (dramatically understaffed) X-ray scattering laboratory, developing a systematic, holistic methodology1 let us provide scattering and diffraction information for more than 2100 samples for 200+ projects led by 120+ collaborators over the last five years. Combined with universal, automat-ed data correction pipelines, as well as our analysis and simulation software, this led to more than 40 papers2 in the last 5 years with just over 2 full-time staff members. While this approach greatly improved the consistency of the results, the consistency of the samples and sample series provided by the users was less reliable nor necessarily reproducible. To address this issue, we built an EPICS-controlled, modular synthesis platform to add to our laboratory. To date, this has prepared over 1200 additional (Metal-Organic Framework) samples for us to meas-ure, analyse and catalogue. By virtue of the automation, the synthesis of these samples is automat-ically documented in excruciating detail, preparing them for upload and exploitation in large-scale materials databases alongside the morphological results obtained from the automated X-ray scat-tering analysis. Having developed these proof-of-concepts, we find that the consistency of results are greatly im-proved by virtue of their reproducibility, hopefully adding to the reliability of the scientific findings as well. Additionally, the nature of the experiments has changed greatly, with much more emphasis on preparation and careful planning. This talk will discuss the advantages and disadvantages of this highly integrated approach and will touch upon upcoming developments. T2 - canSAS-XIII CY - Grenoble, France DA - 16.10.2023 KW - Methodology KW - Lab automation KW - X-ray scattering KW - Automated synthesis KW - Data stewardship KW - Holistic experimental procedures KW - Scicat PY - 2023 AN - OPUS4-58643 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard A1 - Smales, Glen Jacob A1 - Chambers, Aaron A1 - Breßler, Ingo 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 A1 - Smales, Glen Jacob A1 - Chambers, Aaron P. A. A1 - Breßler, Ingo T1 - Glimpses of the Future✨: Oh my god it’s full of metadata! N2 - In this talk, the importance of metadata is underscored by real-world examples. Metadata is essential to alleviating the reproducibility crises in science. This imples that a wide range of metadata must be collected, with a heavy emphasis on the automated collection of such metadata. This must subsequently be organized in an intelligible, archival structure, when possible with units and uncertainties. Such metadata can aid in improving the usage efficiency of instrumentation, as is demonstrated on the MOUSE instrument. This metadata can now be used to connect the various aspects of the holistic experimental procedure to gain better insights on the materials structure. A second example shows the extraction and organization of such metadata from an automated materials development platform, collected during the synthesis of 1200 samples. These metadata from the synthesis can then be linked to the results from the analysis of these samples, to find direct correlations between the synthesis parameters and the final structure of the materials. T2 - Helmholtz Incubator Summer Academy - Next Level Data Science CY - Online meeting DA - 18.09.2023 KW - Metadata KW - Lab automation KW - Data provenance KW - High-throughput KW - Correlative analysis KW - MOUSE KW - X-ray scattering KW - Robotics PY - 2023 AN - OPUS4-58463 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard A1 - Smales, Glen Jacob A1 - Chambers, Aaron P. A. A1 - Breßler, Ingo T1 - Glimpses of the future: a “full stack”, highly automated materials research laboratory N2 - In our (dramatically understaffed) X-ray scattering laboratory, developing a systematic, holistic methodology let us provide scattering and diffraction information for more than 2100 samples for 200+ projects led by 120+ collaborators. Combined with automated data correction pipelines, and our analysis and simulation software, this led to more than 40 papers in the last 5 years with just over 2 full-time staff members. This year, our new, modular synthesis platform has made more than 1000 additional samples for us to analyse and catalogue. By virtue of the automation, the synthesis of these samples is automatically documented in excruciating detail, preparing them for upload and exploitation in large-scale materials databases. Having developed these proof-of-concepts, we find that materials research itself is changed dramatically by automating dull tasks in a laboratory. This talk is intended to spark ideas and collaborations by providing an overview of: 1) the current improvements in our scattering laboratory methodology, 2) introducing our open, modular robotic platform that is used for systematic sample preparation, and 3) demonstrating the data structure of the synthesis logs and measurements. Finally, the remaining bottlenecks and points of attention across all three are highlighted. T2 - FAIRmat seminar CY - Berlin, Germany DA - 28.09.2023 KW - Data stewartship KW - Metadata collection KW - Laboratory methodology KW - MOUSE KW - Robotics KW - Lab automation KW - Holistic science PY - 2023 UR - https://www.fairmat-nfdi.eu/events/brian-pauw AN - OPUS4-58464 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 - CONF A1 - Pauw, Brian Richard A1 - Smales, Glen Jacob A1 - Chambers, Aaron P. A. A1 - Breßler, Ingo T1 - Glimpses of the Future ✨: Advancing X-ray Scattering in an Automated Materials Research Laboratory N2 - In our (dramatically understaffed) X-ray scattering laboratory, developing a systematic, holistic methodology1 let us provide scattering and diffraction information for more than 2100 samples for 200+ projects led by 120+ collaborators. Combined with automated data correction pipelines, and our analysis and simulation software, this led to more than 40 papers2 in the last 5 years with just over 2 full-time staff members. This year, our new, modular synthesis platform has made more than 1000 additional samples for us to analyse and catalogue. By virtue of the automation, the synthesis of these samples is automatically documented in excruciating detail, preparing them for upload and exploitation in large-scale materials databases. Having developed these proof-of-concepts, we find that materials research itself is changed dramatically by automating dull tasks in a laboratory. This talk is intended to spark ideas and invite collaborations by providing an overview of: 1) the current improvements in our wide-range X-ray scattering laboratory methodology, 2) Introduce some of our open-source analysis and simulation software, touching on scattering, diffraction and PDF, and 3) introducing our open, modular robotic platform for systematic sample preparation. Finally, the remaining bottlenecks and points of attention across all three are highlighted. T2 - Swiss Society for Crystallography (SSCr) annual meeting CY - Zurich, Switzerland DA - 08.09.2023 KW - Lab automation KW - Fourier transforms KW - X-ray scattering KW - Robotic synthesis KW - Data stewardship KW - Holistic experimental procedures KW - MOUSE KW - Metal-organic frameworks KW - High-throughput measurements PY - 2023 AN - OPUS4-58237 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Pauw, Brian Richard A1 - Smales, Glen Jacob A1 - Chambers, Aaron P. A. A1 - Breßler, Ingo T1 - Digital Everything: X-ray Scattering and Synthesis Laboratories N2 - In our (dramatically understaffed) X-ray scattering laboratory, developing a systematic, holistic methodology let us provide scattering and diffraction information for more than 2100 samples for 200+ projects led by 120+ collaborators. Combined with automated data correction pipelines, and our analysis and simulation software, this led to more than 40 papers in the last 5 years with just over 2 full-time staff members. This year, our new, modular synthesis platform has made more than 1000 additional samples for us to analyse and catalogue. By virtue of the automation, the synthesis of these samples is automatically documented in excruciating detail, preparing them for upload and exploitation in large-scale materials databases. This talk is intended to spark ideas and invite collaborations by providing an overview of: 1) the current improvements in our wide-range X-ray scattering laboratory methodology, and 2) introducing our open, modular robotic platform for systematic sample preparation. T2 - Seminar at KIT CY - Karlsruhe, Germany DA - 17.08.2023 KW - Lab automation KW - Data stewardship KW - Scattering KW - X-ray scattering KW - Automated synthesis KW - Data pipelines PY - 2023 AN - OPUS4-58234 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -