Message Passing Neural Networks for Atomistic Systems - Molecules

Explore message passing neural networks for atomistic systems in molecules through this 24-minute conference talk presented by Mihail Bogojeski from Technische Universität Berlin. Recorded on April 1, 2022, at IPAM's Multiscale Approaches in Quantum Mechanics Workshop, the presentation delves into the application of advanced machine learning techniques in quantum mechanics. Gain insights into how these neural networks can be utilized to model and analyze molecular structures at the atomic level. Discover the potential implications of this approach for various fields, including materials science, computational chemistry, and drug discovery.

Mihail Bogojeski - Message passing neural networks for atomistic systems: Molecules - IPAM at UCLA