TY - CONF A1 - Panne, Ulrich T1 - Forschen - Prüfen - Beraten - Ziele und Aufgaben der Ressortforschung N2 - Der Vortrag gibt einen Überblick die deutsche Ressortforschung. Neben einer Einordnung in das deutsche Wissenschaftssystem werden in einem historischen Überblick die Besonderheiten der Ressortforschung diskutiert. Besonderes Augenmerk wird der Frage gewidmet „Was ist gute Ressortforschung“. Kritisch erscheint besonders die Vereinbarkeit von exzellenter Wissenschaft und seriöser und unabhängiger Politikberatung. T2 - Auftaktveranstaltung des BMVI-Expertennetzwerks Wissen - Können - Handeln CY - BMVI, Berlin, Germany DA - 19.04.2016 KW - Ressortforschung KW - Ressortforschungseinrichtung KW - Wissenschaftliche Politikberatung PY - 2016 AN - OPUS4-37530 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Panne, Ulrich A1 - Gornushkin, Igor B. A1 - Riedel, Jens T1 - Chemometric tools for LIBS analysis N2 - LIBS matures to a quantitative method for elemental analysis rather than a qualitative diagnostic tool. Numerous real world applications for bulk and microanalysis profit from instrumental and methodical advances in the last decade. Today, recording of numerous spectra from samples can be done with low experimental efforts and low cost per spectrum. Not surprisingly, LIBS data, with a high spectral resolution and a broad spectral range, become “big data” and can be utilized in different ways beyond elemental analysis. But, what is the generic or best approach for quantitative LIBS analysis? What techniques can be employed to gain new insights into data? Emergent information can arise through data fusion of LIBS data with other data, i.e. orthogonal spectroscopic or other information related to the sample. But are fused data better than data from a single method? This talk will provide an in-depth overview what chemometric tools can do for LIBS. For quantitative analysis, pre-processing tools are essential to improve precision, accuracy, and reproducibility but at the same time their application to data is still based on phenomenological criteria. Multivariate analysis seems to dominate LIBS, but are there drawbacks on using all information from spectra. For different data sets from real applications, the use of multivariate calibration and (un)supervised pattern recognition will be discussed in comparison with reference analytical methods and possible improvements through plasma diagnostics and modelling. T2 - 9th International Confrence on Laser-Indusced Breakdown Spectroscopy (LIBS) CY - Charmonix-Mont-Blanc, France DA - 12.09.2016 KW - Chemometrics KW - Analytical method KW - LIBS PY - 2016 AN - OPUS4-37534 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Panne, Ulrich A1 - Braun, Ulrike A1 - Schartel, Bernhard A1 - Weidner, Steffen A1 - Rurack, Knut A1 - Thünemann, Andreas A1 - Sturm, Heinz T1 - Polymerwissenschaften@BAM - Sicherheit macht Märkte N2 - Die Bundesanstalt für Materialforschung und -prüfung (BAM) ist eine Ressortforschungseinrichtung, die zum Schutz von Mensch, Umwelt und Sachgüter, forscht, prüft und berät. Im Fokus aller Tätigkeiten in der Materialwissenschaft, der Werkstofftechnik und der Chemie steht dabei die technische Sicherheit von Produkten und Prozessen. Dazu werden Substanzen, Werkstoffe, Bauteile, Komponenten und Anlagen sowie natürliche und technische Systeme erforscht und auf sicheren Umgang oder Betrieb geprüft und bewertet. Schwerpunkt des Vortrages sind multimodale Polymeranalytik, nanoskalige Sensormaterialien und die Charakterisierung von technischen Eigenschaften von Polymeren sowie ihre Alterung und Umweltrelevanz. T2 - Institutsvortrag CY - Fraunhofer IAP, Potsdam, Germany DA - 18.05.2018 KW - Polymerwissenschaften PY - 2018 AN - OPUS4-45243 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Panne, Ulrich T1 - Analytical Sciences: From Ostwald's maid to enabling science N2 - The talk will address the paradigm shift in Analytical Sciences in regard to chemistry as a discipline. To illustrate this metamorphose examples from spectroschemical analysis, ufluidics, bioanalysis, and the didgital transformation of analytical sciences are discussed. T2 - GDCh-Wissenschaftsforum 2019 CY - Aachen, Germany DA - 15.09.2019 KW - Spectrochemical analysis KW - Analytical Sciences PY - 2019 AN - OPUS4-51471 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Panne, Ulrich A1 - Gornushkin, Igor B. A1 - Riedel, Jens A1 - Schneider, Rudolf A1 - Emmerling, Franziska T1 - "Keine Dienstmagd" - Analytical Sciences in Action N2 - Analytical Sciences has developed from Ostwald’s “unentbehrlichen Dienstmagd” to a chemical discipline at the core of many of today’s fundamental and applied scientific problems and innovations. An atomic or molecular understanding of basic processes in chemistry, soft matter physics, materials and life science is enabled only through new analytical methods and instrumentation. Similar observations can be found for pressing sociopolitical conflicts of the future: A rational discussion of global climate change or new energy sources is only possible with reliable analytical results. Progress in Analytical Sciences is only possible if the underlying interdisciplinary character is acknowledged and valued. The talk will illustrate the scope of modern Analytical Science through examples from process analysis relevant to modern process intensification and industry 4.0 to bioanalysis and the use of synchrotron radiation to elucidate fundamental reactions materials. T2 - MChG Talk CY - Technische Universität München, Germany DA - 27.11.2018 KW - Analytical Sciences PY - 2018 AN - OPUS4-46940 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Panne, Ulrich T1 - Digital Analytical Sciences N2 - Based on inductive reasoning scientific inquiry in Analytical Sciences has a long tradition. The talk addresses in which way the digital transformation will change the scientific paradigm in Analytical Sciences to a data-driven discipline. Three main areas, integration, instruments, and methods, are discussed in their transformation through machine learning and other digital tools. Finally, some shortcomings and pitfalls in the deployments of algorithmic shortcuts are illustrated. T2 - ANAKON Münster CY - Westfälischen Wilhelms-Universität (WWU), Münster, Germany DA - 25.03.2019 KW - Digital transformation KW - Analytical Sciences KW - Digital PY - 2019 AN - OPUS4-47735 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -