Explore the concept of non-locality in machine learning force fields through this 45-minute lecture presented by Stefan Chmiela from Technische Universität Berlin. Recorded on March 31, 2022, at IPAM's Multiscale Approaches in Quantum Mechanics Workshop, the talk delves into advanced topics in quantum mechanics and machine learning applications. Gain insights into the latest research and developments in this field, as Chmiela discusses the challenges and opportunities of incorporating non-local effects in machine learning models for force field predictions. Suitable for researchers, graduate students, and professionals interested in the intersection of quantum mechanics and artificial intelligence.
Non-Locality in Machine Learning Force Fields - IPAM at UCLA
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Overview
Syllabus
Stefan Chmiela - Non-locality in machine learning force fields - IPAM at UCLA
Taught by
Institute for Pure & Applied Mathematics (IPAM)
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