Learning Quantum Mechanics Using Embedding, Symmetric Polynomials and Composition

Explore quantum mechanics through embedding, symmetric polynomials, and composition in this conference talk by Gábor Csányi. Delve into first-principles molecular dynamics, atomic cluster expansion (ACE), and the revolutionary impact of machine learning on force field fidelity. Discover applications in catalysis and witness an OVITO basic demonstration. Gain insights from the Q&A session following the presentation. Connect with speakers through the provided Slack invitation link for further discussions on molecular machine learning.