Kieron Burke: "Machine Learning assisted DFT for strongly correlated systems"
Автор: Quantum Matter Seminars NU
Загружено: 2021-10-13
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This seminar is about using machine learning to understand and improve modelling of strongly correlated systems. It will contain a broad overview of density functional theory, how DFT appears to fail when applied to strongly correlated systems, and how machine learning shows promise of helping improve the situation. Some of the work is in collaboration with Steve White, UCI physics, and Li Li, Google.
[1] Li, Li, Hoyer, Stephan, Pederson, Ryan, Sun, Ruoxi, Cubuk, Ekin D., Riley, Patrick and Burke, Kieron, Phys. Rev. Lett. 126036401 (2021)
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