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Explore electron-phonon physics with advanced methods and software. Learn about spectral density functions, Green's functions, and polarons in materials, with real-world examples and computational challenges.
Explore large-coupling strength expansions in DFT and Hartree-Fock adiabatic connections, examining their applications in quantum chemistry and electronic structure theory.
Explore systematic improvements in quantum models using alchemical perturbations, connecting chemical spaces and simplifying material design through novel approaches and fundamental constraints.
Explore quantum embedding methods for correlated excited states of point defects, focusing on case studies and challenges in computational approaches for defect systems in quantum technologies.
Explore ground state definition for Dirac-Fock energy in molecules and crystals, including existence results and computational algorithms. Insights for theoretical and numerical investigations.
Explore many-electron effective Hamiltonians using similarity renormalization group, focusing on bond-breaking reactions, spin states, and excited states of molecules with near-degenerate electronic structures.
Explore precise quantum mechanical calculations for electron interactions in condensed matter, covering theory, challenges, and recent advancements in computational methods.
Explore recent advancements in Density Functional Theory, including the Lieb-Oxford bound and Local Density Approximation, presented by Mathieu Lewin at IPAM's workshop on Model Reduction in Quantum Mechanics.
Explore quantum Hall effect in thin Hall bars, interacting fermion systems' response to local perturbations, and adiabatic theorems for extended many-body systems with bulk gaps.
Explore spectral results and open problems for Dirac-Coulomb operators with general charge distributions, focusing on self-adjoint extensions, eigenvalue characterizations, and electron stability conditions.
Explore multiscale inverse problems across quantum, classical, and statistical physics, connecting Schroedinger, Newton, and Boltzmann equations to reveal universal mathematical principles in diverse scientific domains.
Explore Hartree-Fock approximation in quantum mechanics, covering accuracy, variational principles, generalizations, and symmetries. Gain insights into advanced theoretical concepts and applications.
Explore multiscale approaches to dispersion modelling, focusing on van der Waals physics in materials with one- or two-dimensional interactions and the challenges in mathematical techniques used to model them.
Explore message passing neural networks for atomistic systems, focusing on thermal transport simulations and diffusion in materials science, with practical examples and convergence tests.
Explore diagrammatic algorithms for open quantum systems, focusing on balancing dynamical sign problems and error amplification in numerical integration through partial resummation techniques.
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