49:24
Kieron Burke: "Density functionals from machine learning"
Institute for Pure & Applied Mathematics (IPAM)
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Kieron Burke - Conditional probability density functional theory - IPAM at UCLA
Institute for Pure & Applied Mathematics (IPAM)
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Kieron Burke - Elements of electronic structure calculations: HF and DFT - IPAM at UCLA
Institute for Pure & Applied Mathematics (IPAM)
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1:23:42
Kieron Burke: "Machine Learning assisted DFT for strongly correlated systems"
Quantum Matter Seminars NU
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27:34
Machine Learning for Quantum Simulation - Kieron Burke (June 22, 2020)
Simons Foundation
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1:11:30
Kieron Burke: How machine learning is revolutionizing drug discovery & material design
Kavli Institute for Theoretical Physics
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31:29
Kieron Burke: Electronic Structure Calculation: Past, Present, and Future
TACO: Taming Complexity in Materials Modeling
280 views
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1:00:36
Semiclassical origins of density functional approximations
Institute for Mathematical Sciences
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47:05
Kieron Burke: Machine Learning in Materials Science and Electronic Structure Theory
TACO: Taming Complexity in Materials Modeling
575 views
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1:05:47
ML in electronic structure theory - Prof Kieron Burke, UCI Chemistry
Physical Sciences Machine Learning Nexus
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52:36
Patrick Riley - Symbolic Regression for Discovery of a DFT Functional - IPAM at UCLA
Institute for Pure & Applied Mathematics (IPAM)
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44:39
Machine learning as a solution to the electronic structure problem
Cambridge Materials
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