YoVDO

Quantum Mechanics Courses

High Accuracy Wavefunctions Using Deep-Learning-Based Variational Monte Carlo
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Conditional Probability Density Functional Theory - IPAM at UCLA
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Neural-Network Wave Functions for Quantum Chemistry - IPAM at UCLA
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Auxiliary Field Quantum Monte Carlo - AFQMC with Multi Slater Wavefunctions
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Stochastic Density Functional Theory - IPAM at UCLA
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Molecular Electron Densities via Machine Learning - IPAM at UCLA
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Fermionic Neural-Network Quantum States - IPAM at UCLA
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Error Bounds for Properties in Planewave Electronic Structure Calculations
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Uncertainty Quantification of Quantum Chemical Methods - IPAM at UCLA
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Convergence of the Planewave Approximations for Quantum Incommensurate Systems
Institute for Pure & Applied Mathematics (IPAM) via YouTube
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