Event Videos
Kieron Burke: Adventures in Machine Learning of density functionals
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Marivi Fernandez Serra: Machine learning accurate exchange and correlation functionals of the electronic density
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Markus Holzmann: Iterative backflow renormalization: a non-linear network for quantum many-body wave functions in continuous space
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Weinan E: Developing meta-universal generalized density functional theory models and solving ground state Schrodinger equation for many-electron systems
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Gabriel Aeppli: Pumping condensed matter in resonators: from physics to biomolecular recognition with viral lasers
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André-Marie Tremblay: Bad Metals and More
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Eun-Ah Kim: Machine Learning Quantum Emergence
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Chang-Jong Kang: Computational Material Designs – Material Design Methodology and Example of 112-Family Fe-Based Superconductor
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Edwin Huang (for Tom Devereaux): Quantum Monte Carlo Studies of Transport in the Hubbard Model
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