Model Reduction in Quantum Mechanics Workshop 2022
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Overview
Syllabus
Eun-Ah Kim - Machine Learning for Quantum Simulation - IPAM at UCLA
Anil Damle - Localization methods: perspectives on initialization and optimization - IPAM at UCLA
Eric Cances - Some mathematical and numerical results on monolayer and twisted bilayer graphene
Nandini Ananth - Quantum dynamics from classical trajectories - IPAM at UCLA
Feliciano Giustino - Methods and software for electron-phonon physics - IPAM at UCLA
Paola Gori-Giorgi - Large-coupling strength expansion in DFT and Hartree-Fock adiabatic connections
Steve White - Model reduction using localized bases and DMRG - IPAM at UCLA
Guido Falk von Rudorff - Systematically improvable models from alchemical perturbations - IPAM UCLA
Lukas Muechler - Quantum embedding methods for correlated excited states of point defects
Andreas Savin - Beyond density functional approximations by lessons from density functional theory
Eric Séré - The ground state of the Dirac-Fock energy for molecules and crystals - IPAM at UCLA
Giovanni Vignale - Quantum continuum mechanics for many-body systems - IPAM at UCLA
Francesco Evangelista - Many-electron effective Hamiltonians from similarity renormalization group
Marco Bernardi - Quantum mechanical calculations of electron interactions in condensed matter
Mathieu Lewin - Recent results in Density Functional Theory - IPAM at UCLA
Stefan Tuefel - Local response in bulk-gapped interacting systems - IPAM at UCLA
Maria Esteban - Spectral results & open problems for Dirac-Coulomb operators w/ charge distributions
Qin Li - Multiscale inverse problem, from Schroedinger to Newton to Boltzmann - IPAM at UCLA
Roi Baer - Stochastic Vector Methods for extended systems - IPAM at UCLA
Garnet Chan - Lattice models and ab initio descriptions of correlated materials - IPAM at UCLA
Benjamin Schlein - Correlation energy of weakly interacting fermions - IPAM at UCLA
Volker Bach - The Hartree-Fock Approximation and its Generalizations - IPAM at UCLA
Taught by
Institute for Pure & Applied Mathematics (IPAM)