Advancing Quantum Mechanics with Mathematics and Statistics - Tutorials

Advancing Quantum Mechanics with Mathematics and Statistics - Tutorials

Institute for Pure & Applied Mathematics (IPAM) via YouTube Direct link

Kieron Burke - Elements of electronic structure calculations: HF and DFT - IPAM at UCLA

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1 of 13

Kieron Burke - Elements of electronic structure calculations: HF and DFT - IPAM at UCLA

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Advancing Quantum Mechanics with Mathematics and Statistics - Tutorials

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  1. 1 Kieron Burke - Elements of electronic structure calculations: HF and DFT - IPAM at UCLA
  2. 2 Jianfeng Lu - Mathematical Models of Electronic Structure - IPAM at UCLA
  3. 3 Alexandre Tkatchenko - Many-body perturbation theory and wavefunction methods: A Physics perspective
  4. 4 Prineha Narang - Ab initio quantum chemistry approaches to nonequilibrium interactions in molecules
  5. 5 Robert Webber - Randomized methods for quantum many-body problems: a mathematical primer
  6. 6 David Ceperley - Introduction to Classical and Quantum Monte Carlo methods for Many-Body systems
  7. 7 Dominika Zgid - A physical/chemical motivation behind quantum embedding theories - IPAM at UCLA
  8. 8 Lin Lin - A mathematical introduction to quantum embedding theory - IPAM at UCLA
  9. 9 Stefan Chmiela - Machine learning basics: A speedrun - IPAM at UCLA
  10. 10 Michael Lindsey - Many-body perturbation theory and Green's function methods - IPAM at UCLA
  11. 11 Benjamin Stamm - Eigenvalue problems and error control - IPAM at UCLA
  12. 12 Matteo Gori - Field theory methods for multiscale description of quantum systems - IPAM at UCLA
  13. 13 Alexandre Tkatchenko - Theory of Molecular Interactions - IPAM at UCLA

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