Dear colleagues,

The deadline for the symposium on "Machine Learning Assisted Materials Discovery"
at the 11th International Conference on Multiscale Materials Modeling (MMM11)
on Sep 22-27, 2024 in Prague, Czech Republic is rapidly approaching: March 30, 2024.
For details and abstract submission see https://mmm11.ipm.cz/

The goal of this symposium is to cover the method development and the recent
applications in machine-learning assisted materials discovery along the
complete chain from material representation to machine learning techniques to
statistical inference and surrogate models at all length scales.

We welcome contributions on the following topics:
- Structure-property prediction based on machine learning
- Methods and applications of active learning in materials design
- Surrogate/scale-bridging approaches for materials design
- Development and application of machine learning interatomic potentials
- Descriptor and feature engineering for materials science
- Uncertainty prediction and propagation in materials design
- Knowledge graphs and semantic representations for materials development
- Hybrid methods combining statistical learning and physics-based modeling in materials science

Keynote speakers:
- Claudia Draxl (Humboldt-Universität Berlin, Germany)
- Shyue Ping Ong (University of California San Diego, USA)
- Patrick Rinke (Aalto University, Finland)
- Yury Lysogorskiy (Ruhr Universität, Bochum, Germany)
- Gareth Conduit (University of Cambridge, UK)
- Surya Kalidindi (Georgia Institute of Technology, USA)

We look forward to welcome you in Prague,
The organizing committee
Thomas Hammerschmidt (Ruhr Universität Bochum, Germany),
Lorenz Romaner (Montanuniversität Leoben, Austria)
Milica Todorovic (University of Turku, Finland)