Materials Modeling with Machine Learning – Extending the Reach of ab initio Methods to the Engineering Scale
Join Gus Hart (BYU), Bill Curtin (EPFL); with Clint Geller, Volker Eyert, Clive Freeman, and Erich Wimmer (Materials Design).
This interactive live panel discussion and Q&A will focus on machine learning potential applications in materials modeling and simulation. Machine Learning Potentials (MLPs) provide a new route to efficient, high fidelity calculations for complex systems. The panel will discuss the current state of the art and ongoing and future developments in MLP technology, highlighting their implications for engineering-scale materials and process simulation.
The interactive panel session will be open to all registered UGM attendees and will be held live at one time worldwide on October 26. The recorded discussion will then be available to meeting attendees online - though the recording will of course be non-interactive.
Chief Scientific Officer
Erich Wimmer received his doctoral degree from the Technical University in Vienna, Austria. As a post-doctoral fellow in the group of Professor A. J. Freeman at Northwestern University, Erich was instrumental in the development of the original FLAPW method. Prior to co-founding Materials Design, Erich managed software development and led teams at CRAY Research and BIOSYM Technologies.
