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F - From Microstructure to Properties: Mechanisms, Microstructure, Manufacturing


Markus Kühbach
(Max-Planck-Institut für Eisenforschung GmbH, Germany)
Luis Barrales-Mora
(Georgia Tech Lorraine, France)
Martin Diehl
(Max-Planck-Institut für Eisenforschung GmbH, Germany)


A major goal of numerical models and computer simulations in materials science and engineering is the prediction of material properties as a function of their thermomechanical processing route. The diverse physical mechanisms on such a route evolve the spatial arrangement and quantity of crystal defects, phases, and local chemical composition which in turn determine the material properties. Consequently, simulations of microstructure evolution provide state variable values for the prediction of macroscopic material behavior. Reliable property predictions via simulations of microstructure evolution require not only to encode a thorough understanding and abstraction of the underlying individual physical mechanisms of microstructure modification into numerically precise and efficient models, but also to couple the cooperative effect of individual mechanisms via multi-physics models. This can be achieved by connecting atomistic simulation of fundamental physical processes by bottom-up data transfer strategies to continuum models at the mesoscopic and macroscopic scales. The last two decades' unprecedented development in computing capacity and the significant progress in physics-based material models have permitted performing these tasks more productively than ever before.

This symposium aims at scientists working in diverse areas of materials science and engineering to present, assess, and discuss the challenges inherent in the modeling and simulation of microstructures and evaluate their implications for predicting material properties with accuracy and significance. We especially welcome combined efforts by theoreticians, modelers, and experimentalists. Ideally, examples of multi-scale informed modeling approaches are presented that combine the handling of different physical effects in one framework. The symposium provides a forum for those who identify synergies and explore potential novel avenues which integrate current and next generation computing resources productively into the process of modeling-driven integrated computational materials engineering (ICME).

Topics of interest

- Crystal plasticity
- Recovery, recrystallization, and grain growth
- Phase transformation
- Multi-physics approaches
- Collaborative approaches to materials science by experiments and simulations
- Experimentally-aided Multiscale Materials Modeling
- Through-process modeling and ICME approaches
- Data-science in materials science

Invited speakers

Surya Kalidindi
(GeorgiaTech, USA)
Peter Gumbsch
(Karlsruhe Institute of Technology, Germany)
Ricardo Lebensohn
(Los Alamos National Laboratory, USA)
Yunzhi Wang
(Ohio State, USA)
Benoît Appolaire
(Université de Lorraine, France)
Ernst Kozeschnik
(TU Wien, Austria)
Ingo Steinbach
(Ruhr-Universität Bochum, Germany)
Alexander Stukowski
(TU Darmstadt, Germany)
Dana Zöllner
(Otto-von-Guericke-Universität Magdeburg, Germany)
Selim Esedoğlu
(University of Michigan, USA)
Yasushi Shibuta
(University of Tokyo, Japan)
Takayuki Aoki
(Tokyo Institute of Technology, Japan)
Carl Krill
(Ulm University, Germany)
Tomohiro Takaki
(Kyoto Institute of Technology (KIT), Japan)