Computational Chemistry Courses
Institute for Pure & Applied Mathematics (IPAM) via YouTube Quantum Algorithms for Chemistry - Part I
Institute for Pure & Applied Mathematics (IPAM) via YouTube AI/ML and Physics - Choosing What to Model in Physics-Informed Machine Learning
Steve Brunton via YouTube The Complexity of Fermions in Quantum Information and Beyond
Simons Institute via YouTube Open Challenges in AI for Molecular Design: Representation, Experimental Alignment, and Oracle Reliability
Simons Institute via YouTube Deep Learning and Numerical Methods Intersections for Improving Molecular and Fluid Dynamics
Simons Institute via YouTube Large ML Potentials for Chemistry - Generalization, Inductive Biases, and Error Cancellation
Simons Institute via YouTube Generalizable Sampling of Conformational Ensembles with Latent Space Dynamics
Simons Institute via YouTube Materials Modeling - Bonding Across Atoms, Code, and People - JuliaCon 2024 Keynote
The Julia Programming Language via YouTube PBC Development in Q-Chem - 2024 Wormit Award
QChemSoftware via YouTube