Materials Modelling, Simulation and Data

Materials modelling, simulation and data integrates multiscale simulations (DFT, MD, phase‑field, FEM) with data‑driven methods to predict structure–property relationships. High‑throughput computations, machine learning models and uncertainty quantification accelerate materials design and the interpretation of experimental data within a reproducible digital framework.

Committees

Working Group

Atomistic

Committee members: 6

Chair

Dr. rer. nat. Tilmann Hickel

Max Planck Institute for Sustainable Materials

Chair

PD Dr. habil. Rebecca Janisch

Ruhr University Bochum

Chair

Prof. Dr. Erik Bitzek

Max Planck Institute for Sustainable Materials
Working Group

Materials Data Science and AI

Committee members: 37

Chair

Prof. Dr. Stefan Sandfeld

Forschungszentrum Jülich GmbH
Expert Committee

Materials Modelling, Simulation and Data

Committee members: 414

Chair

Prof. Dr. Stefan Sandfeld

Forschungszentrum Jülich GmbH

Vice Chair

Prof. Dr. Alexander Hartmaier

Ruhr University Bochum
Working Group

Microstructural mechanics

Committee members: 262

Chair

Prof. Dr. Alexander Hartmaier

Ruhr University Bochum

Vice Chair

Prof. Dr.-Ing. Sandra Klinge

TU Berlin
Working Group

Phase Field Modelling

Committee members: 5

Chair

Prof. Dr. Britta Nestler

Karlsruhe Institute of Technology (KIT)

Chair

Daniel Schneider

Karlsruhe Institute of Technology (KIT)
Working Group

Simulation Platform and Interoperability

Committee members: 7

Chair

Dr. Daniel Höche

Helmholtz-Zentrum hereon GmbH

Chair

Dr. Markus Apel

ACCESS e.V.

Atomistic

Materials Data Science and AI

Materials Modelling, Simulation and Data

Microstructural mechanics

Phase Field Modelling

Simulation Platform and Interoperability

Events

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