TY - CONF A1 - Geoerg, Paul A1 - Polzin, R.M. A1 - Holl, S. A1 - Hofmann-Böllinghaus, Anja T1 - Berücksichtigung von Personen mit körperlichen, geistigen oder altersbedingten Beeinträchtigungen in der Evakuierungsforschung N2 - Studien zur Erforschung von Kenngrößen der Bewegung von Personen wurden in der Vergangenheit meistens mit jungen und fitten Menschen durchgeführt. In Folge des demographischen Wandels und der Anforderungen an barrierefreies Bauen stellt sich die Frage, ob die so ermittelten Kenngrößen der Bewegung auch auf heterogene Personengruppen übertragen werden können. Da bei der Berechnung von Räumungszeiten zunehmend Ingenieurmethoden eingesetzt werden, deren Ergebnisse ganz wesentlich von den zu Grunde gelegten Bewegungsparametern, wie z. B. der freien Gehgeschwindigkeit, abhängen, hat die Validität der Kenngrößen maßgeblichen Einfluss auf die sicherheitstechnische Evaluation von Gebäuden und Versammlungsstätten. In diesem Artikel wird anhand aktueller Forschungsergebnisse aus Bewegungsstudien, an denen Menschen mit und ohne Beeinträchtigungen teilgenommen haben, der Einfluss der Heterogenität auf Kenngrößen der Bewegung vorgestellt. Darüber hinaus werden die Besonderheiten des Studienablaufs und die Möglichkeiten und Grenzen der Untersuchungsmethode dargestellt. Die Untersuchungen bestätigen, dass die Berücksichtigung besonderer Personengruppen signifikanten Einfluss auf die Kenngrößen der Bewegung hat und daher die Ergebnisse der Ingenieurmethoden beeinflusst und zukünftig bei heterogenen Personengruppen beachtet werden muss. T2 - 65. Jahresfachtagung der Vereinigung zur Förderung des Deutschen Brandschutzes e.V. CY - Duisburg, Germany DA - 28.05.2018 KW - Evakuierung KW - Egress KW - Heterogenität KW - ASET KW - RSET PY - 2018 SN - 978-3-936050-28-8 SP - 189 EP - 204 PB - VdS Schadensverhütung GmbH Verlag CY - Köln AN - OPUS4-45082 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Heuchel, M. A1 - Böhning, Martin A1 - Hölck, Ole A1 - Siegert, M.R. A1 - Hofmann, D. T1 - Atomistic Packing Models for Experimentally Investigated Swelling States Induced by CO2 in Glassy Polysulfone and Poly(ether sulfone) N2 - Atomistic packing models have been created, which help to better understand the experimentally observed swelling behavior of glassy polysulfone and poly (ether sulfone), under CO2 gas pressures up to 50 bar at 308 K. The experimental characterization includes the measurement of the time-dependent volume dilation of the polymer samples after a pressure step and the determination of the corresponding gas concentrations by gravimetric gas-sorption measurements. The models obtained by force-field-based molecular mechanics and molecular dynamics methods allow a detailed atomistic analysis of representative swelling states of polymer/gas systems, with respect to the dilation of the matrix. Also, changes of free volume distribution and backbone mobility are accessible. The behavior of gas molecules in unswollen and swollen polymer matrices is characterized in terms of sorption, diffusion, and plasticization. KW - Molecular modeling KW - Volume dilation KW - Gas sorption KW - Poly(ether sulfones) KW - Free volume KW - Swelling KW - Molecular dynamics KW - Diffusion KW - Plasticization PY - 2006 DO - https://doi.org/10.1002/polb.20844 SN - 0887-6266 SN - 1099-0488 VL - 44 IS - 13 SP - 1874 EP - 1897 PB - Wiley CY - Hoboken, NJ AN - OPUS4-12398 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Heuchel, M. A1 - Böhning, Martin A1 - Hölck, Ole A1 - Siegert, M.R. A1 - Hofmann, D. T1 - Atomistic packing models for experimentally investigated swelling states induced by CO2 in glassy polymers KW - Glassy polymers KW - Sorption KW - Swelling KW - Molecular Modelling PY - 2006 DO - https://doi.org/10.1016/j.desal.2006.03.100 SN - 0011-9164 VL - 199 IS - 1-3 SP - 443 EP - 444 PB - Elsevier CY - Amsterdam AN - OPUS4-13708 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Batatia, Ilyes A1 - Benner, Philipp A1 - Chiang, Yuan A1 - Elena, Alin M. A1 - Kovács, Dávid P. A1 - Riebesell, Janosh A1 - Advincula, Xavier R. A1 - Asta, Mark A1 - Avaylon, Matthew A1 - Baldwin, William J. A1 - Berger, Fabian A1 - Bernstein, Noam A1 - Bhowmik, Arghya A1 - Bigi, Filippo A1 - Blau, Samuel M. A1 - Cărare, Vlad A1 - Ceriotti, Michele A1 - Chong, Sanggyu A1 - Darby, James P. A1 - De, Sandip A1 - Della Pia, Flaviano A1 - Deringer, Volker L. A1 - Elijošius, Rokas A1 - El-Machachi, Zakariya A1 - Fako, Edvin A1 - Falcioni, Fabio A1 - Ferrari, Andrea C. A1 - Gardner, John L. A. A1 - Gawkowski, Mikołaj J. A1 - Genreith-Schriever, Annalena A1 - George, Janine A1 - Goodall, Rhys E. A. A1 - Grandel, Jonas A1 - Grey, Clare P. A1 - Grigorev, Petr A1 - Han, Shuang A1 - Handley, Will A1 - Heenen, Hendrik H. A1 - Hermansson, Kersti A1 - Ho, Cheuk Hin A1 - Hofmann, Stephan A1 - Holm, Christian A1 - Jaafar, Jad A1 - Jakob, Konstantin S. A1 - Jung, Hyunwook A1 - Kapil, Venkat A1 - Kaplan, Aaron D. A1 - Karimitari, Nima A1 - Naik, Aakash A. A1 - Csányi, Gábor T1 - A foundation model for atomistic materials chemistry N2 - Atomistic simulations of matter, especially those that leverage first-principles (ab initio) electronic structure theory, provide a microscopic view of the world, underpinning much of our understanding of chemistry and materials science. Over the last decade or so, machine-learned force fields have transformed atomistic modeling by enabling simulations of ab initio quality over unprecedented time and length scales. However, early machine-learning (ML) force fields have largely been limited by (i) the substantial computational and human effort required to develop and validate potentials for each particular system of interest and (ii) a general lack of transferability from one chemical system to the next. Here, we show that it is possible to create a general-purpose atomistic ML model, trained on a public dataset of moderate size, that is capable of running stable molecular dynamics for a wide range of molecules and materials. We demonstrate the power of the MACE-MP-0 model—and its qualitative and at times quantitative accuracy—on a diverse set of problems in the physical sciences, including properties of solids, liquids, gases, chemical reactions, interfaces, and even the dynamics of a small protein. The model can be applied out of the box as a starting or “foundation” model for any atomistic system of interest and, when desired, can be fine-tuned on just a handful of application-specific data points to reach ab initio accuracy. Establishing that a stable force-field model can cover almost all materials changes atomistic modeling in a fundamental way: experienced users obtain reliable results much faster, and beginners face a lower barrier to entry. Foundation models thus represent a step toward democratizing the revolution in atomic-scale modeling that has been brought about by ML force fields. KW - Materials Design KW - Thermal Conducitivity KW - Nanoparticles KW - Batteries PY - 2025 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-647829 DO - https://doi.org/10.1063/5.0297006 SN - 0021-9606 VL - 163 IS - 18 SP - 1 EP - 89 PB - AIP Publishing AN - OPUS4-64782 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Gerrits, Ruben A1 - Stepec, Biwen An A1 - Bäßler, Ralph A1 - Becker, Roland A1 - Dimper, Matthias A1 - Feldmann, Ines A1 - Goff, Kira L. A1 - Günster, Jens A1 - Hofmann, Andrea A1 - Hesse, René A1 - Kirstein, Sarah A1 - Klein, Ulrich A1 - Mauch, Tatjana A1 - Neumann-Schaal, Meina A1 - Özcan Sandikcioglu, Özlem A1 - Taylor, Nicole M. A1 - Schumacher, Julia A1 - Shen, Yin A1 - Strehlau, Heike A1 - Weise, Matthias A1 - Wolf, Jacqueline A1 - Yurkov, Andrey A1 - Gieg, Lisa M. A1 - Gorbushina, Anna T1 - A 30-year-old diesel tank: Fungal-dominated biofilms cause local corrosion of galvanised steel N2 - The increased use of biodiesel is expected to lead to more microbial corrosion, fouling and fuel degradation issues. In this context, we have analysed the metal, fuel and microbiology of a fouled diesel tank which had been in service for over 30 years. The fuel itself, a B7 biodiesel blend, was not degraded, and—although no free water phase was visible—contained a water content of ~60 ppm. The microbial community was dominated by the fungus Amorphotheca resinae, which formed thick, patchy biofilms on the tank bottom and walls. The tank sheets, composed of galvanised carbon steel, were locally corroded underneath the biofilms, up to a depth of a third of the sheet thickness. On the biofilm-free surfaces, Zn coatings could still be observed. Taken together, A. resinae was shown to thrive in these water-poor conditions, likely enhancing corrosion through the removal of the protective Zn coatings. KW - Fungal biofilms KW - Biodiesel degradation mechanisms PY - 2026 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-655014 DO - https://doi.org/10.1038/s41529-025-00731-2 SN - 2397-2106 VL - 10 IS - 1 SP - 1 EP - 14 PB - Springer Science and Business Media LLC AN - OPUS4-65501 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -