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Machine Learning Potentials - free virtual works ... (No replies)

bkoz
10 months ago
bkoz 10 months ago

It is our pleasure to invite you to join the upcoming virtual workshop “Machine Learning Potentials - StAtus and FuturE (MLP-SAFE)” July 17-19 11am-3pm EDT. Machine learning potentials (MLPs) are a disruptive new technology in molecular and materials science. This workshop will provide an outstanding opportunity to learn about key advancements and opportunities in MLPs. The workshop will take place virtually over 3 days and will involve short talks and then extended discussions with expert panels. The workshop is free and all are welcome! 

To learn more and register please visit https://MLP-SAFEworkshop.eventbrite.com. We encourage you to advertise this event to your colleagues and on social media. We hope you will join us!

Best regards

Dane Morgan (Dept of Materials Science and Engineering, University of Wisconsin-Madison)

Boris Kozinsky (School of Engineering and Applied Sciences, Harvard University)

Vasant Honavar (College of Information Sciences and Technology, Penn State University)

Supported by the National Science Foundation through the Institute for AI-Enabled Materials, Discovery, Design, and Synthesis (AIMS) planning grant # 2020243.

MLP-SAFE-Flier-FINAL.pdf



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Ab initio (from electronic structure) calculation of complex processes in materials