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Quantum Mechanics Courses

Monte Carlo and Machine Learning Approaches in Quantum Mechanics - IPAM at UCLA
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Quantum Monte Carlo and Machine Learning Simulations of Dense Hydrogen
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Targeting Excited States with Quantum Monte Carlo - IPAM at UCLA
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Estimate Transport Coefficients From Short Equilibrium Molecular-Dynamic Simulation
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Convergent Orthogonality Preserving Approximations of the Kohn-Sham Orbitals
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Acceleration of Quantum Mechanical Systems by Exploiting Similarity - IPAM at UCLA
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Numerical Methods for Scattering and Resonance Properties in Molecules and Solids
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Basis-Set Correction Based on Density-Functional Theory - IPAM at UCLA
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Model Reduction Using Localized Bases and DMRG - IPAM at UCLA
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Beyond Density Functional Approximations by Lessons From Density Functional Theory
Institute for Pure & Applied Mathematics (IPAM) via YouTube
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