Explore machine learning interatomic potentials in this 52-minute conference talk from the 2024 Machine Learning for Drug Discovery Summer School hosted at Mila. Delve into the intricacies of ML-based approaches for modeling interatomic interactions as presented by speaker Gianni De Fabritiis. Gain insights into the application of these potentials in drug discovery and molecular simulations. Connect with the speaker and other attendees through the provided Portal link for further discussions and networking opportunities.
Overview
Syllabus
Day 2 - Learning ML Interatomic Potentials | Gianni De Fabritiis
Taught by
Valence Labs
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