Koordinierung im FA Materials Modelling, Simulation und Data

Wissenschaftliche und technologische Zusammenarbeit in den Materialwissenschaften

Computing in der Werkstoffforschung

Koordination in der atomaren Struktur von Werkstoffen

Datenanalyse in der Werkstoffforschung

Simulationsmethoden in der Werkstoffforschung

Koordinierung im FA Materials Modelling, Simulation und Data

Eine interdisziplinäre Koordinierungsaufgabe, die die Integration von Modellierungs-, Simulations- und Datenanalysemethoden in der Werkstoffwissenschaft fördert. Ziel ist es, standardisierte Ansätze zu entwickeln, um Materialeigenschaften und Prozessparameter effizient zu optimieren und Innovationen voranzutreiben.

Verwandte Tags

Neue Inhalte

Pyiron-based workflow to determine the parameters of material models

Farahani, E. (Speaker)¹; Cetin Haftaoglu, C.¹; Fedelich, B.¹; Lakshmipathy, T.¹

MaterialDigital General Assembly 2025

Creating a digital material representation that boosts product innovation

Koerdel, M. (Speaker)¹

MaterialsWeek 2025

Computational Homogenization Using Model Order Reduction

Wulfinghoff, S. (Speaker)¹; Goldbeck, H.¹; Hauck, J.¹

6th - International Conference on Intelligent Materials - Networked Matter - InMAT 2025

Seamless Science: Navigating Daily Lab Life through Semantic Data Integration, Electronic Lab Notebooks, and Knowledge Graphs in the Era of MSE Digitalization

Schilling, M. (Speaker)¹; Bayerlein, B.¹; Bruns, S.²; von Hartrott, P.³; Waitelonis, J.⁴; Schaarschmidt, J.⁵; Kryeziu, J.⁵; Skrotzki, B.¹

Exploration of structure-property linkages and data-driven inverse design of materials

Kästner, M. (Speaker)¹; Kalina, K.¹; Raßloff, A.¹; Seibert, P.¹

Toward Hierarchical Modeling: Machine Learning for Describing Elastic-Plastic Behavior in Nanoporous Metals

Dyckhoff, L. (Speaker)¹; Huber, N.¹

Creating Comparable Data Structures for Diverse Research Fields – An Ontology-based Approach from Li-Ion Battery Research

Nebel, V. (Speaker)¹; Mutz, M.¹; Beran, L.²; Kraus, T.³

Equilibrium Phase Diagrams from ab-initio Data

Hütter, S. (Speaker)¹; Halle, T.¹

Implementation of the electronic laboratory notebook PASTA-ELN for streamlining data-driven experimental materials science

Brinckmann, S. (Speaker)¹; Tsybenko, H.¹; Schwaiger, R.¹

Interoperability of experimental and computational workflows: microscopies, spectroscopies, and autonomous battery cycling

Bainglass, E. (Speaker)¹

Beliebte Inhalte

Computational Homogenization Using Model Order Reduction

Wulfinghoff, S. (Speaker)¹; Goldbeck, H.¹; Hauck, J.¹

6th - International Conference on Intelligent Materials - Networked Matter - InMAT 2025

Creating a digital material representation that boosts product innovation

Koerdel, M. (Speaker)¹

MaterialsWeek 2025

Pyiron-based workflow to determine the parameters of material models

Farahani, E. (Speaker)¹; Cetin Haftaoglu, C.¹; Fedelich, B.¹; Lakshmipathy, T.¹

MaterialDigital General Assembly 2025

Uncovering process-structure relationships in inert gas atomization of high-alloy tool steels using a convolutional neural network embedded in a quantitative metallography and stereology workflow

Benito, S.M. (Speaker)¹; Weber, S.¹

Conference on Artificial Intelligence in Materials Science and Engineering - AI MSE 2023

Data-integrated Artificial Intelligence in Kadi4Mat: an Overview

Koeppe, A. (Speaker)¹; Griem, L.¹; Grolig, J.¹; Nestler, B.¹; Rajagopal, D.¹; Selzer, M.¹; Tosato, G.¹; Zhao, Y.¹

Conference on Artificial Intelligence in Materials Science and Engineering - AI MSE 2023

DFT-based machine learning potentials for modelling of Ta-Ti-V-W alloys

Wróbel, J. (Speaker)¹; Goryaeva, A.²; Marinica, M.-C.²; Nguyen-Manh, D.³; Sobieraj, D.¹

FEMS EUROMAT 2023

Seamless Science: Navigating Daily Lab Life through Semantic Data Integration, Electronic Lab Notebooks, and Knowledge Graphs in the Era of MSE Digitalization

Schilling, M. (Speaker)¹; Bayerlein, B.¹; Bruns, S.²; von Hartrott, P.³; Waitelonis, J.⁴; Schaarschmidt, J.⁵; Kryeziu, J.⁵; Skrotzki, B.¹

Implementation of the electronic laboratory notebook PASTA-ELN for streamlining data-driven experimental materials science

Brinckmann, S. (Speaker)¹; Tsybenko, H.¹; Schwaiger, R.¹

Exploration of structure-property linkages and data-driven inverse design of materials

Kästner, M. (Speaker)¹; Kalina, K.¹; Raßloff, A.¹; Seibert, P.¹

Data based characterization of metastable austenitic steels

Tolooei Eshlaghi, G. (Speaker)¹; Benito, S.²; Egels, G.²; Hartmaier, A.¹; Weber, S.²

Toward Hierarchical Modeling: Machine Learning for Describing Elastic-Plastic Behavior in Nanoporous Metals

Dyckhoff, L. (Speaker)¹; Huber, N.¹

Creating Comparable Data Structures for Diverse Research Fields – An Ontology-based Approach from Li-Ion Battery Research

Nebel, V. (Speaker)¹; Mutz, M.¹; Beran, L.²; Kraus, T.³

Managing FAIR Tribological Data Using a Generic Research Data Infrastructure

Brandt, N. (Speaker)¹; Garabedian, N.T.¹; Greiner, C.¹; Schoof, E.¹; Schreiber, P.J.¹; Selzer, M.¹; Zschumme, P.¹

Towards more reliable and transferable models. Optimal design of computer experiments and data-driven inter-atomic potentials

Barzdajn, B. (Speaker)¹

FEMS EUROMAT 2023

Equilibrium Phase Diagrams from ab-initio Data

Hütter, S. (Speaker)¹; Halle, T.¹

Ontology development by domain experts using an entry-level example

Norouzi, E. (Speaker)¹; Bayerlein, B.²; Birkholz, H.³; Bjarsch, T.⁴; Hanke, T.⁵; Huschle, T.⁵; Niebel, M.⁵; Sack, H.¹; Waitelonis, J.¹

Interoperability of experimental and computational workflows: microscopies, spectroscopies, and autonomous battery cycling

Bainglass, E. (Speaker)¹

Enhancing the Predictive Capabilities of Microstructure Simulations in PBF-LB/M by an Evaluation of Nucleation Theories

Panzer, H. (Speaker)¹; Buss, L.¹; Zheng, Z.¹; Zäh, M.F.¹

EuroSuperalloys 2022 - 4th European Symposium on Superalloys and their Applications

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