Tuesday, March 7, 2023
8:00AM - 8:36AM
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F62.00001: A Bayesian machine-learning approach to the quantum many-body problemInvited Talk: George Booth, King's College London
Invited Speaker:
George Booth
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Tuesday, March 7, 2023
8:36AM - 8:48AM
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F62.00002: Electronic excited states in deep variational Monte Carlo
Mike Entwistle, Zeno Schätzle, Paolo Erdman, Jan Hermann, Frank Noe
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Tuesday, March 7, 2023
8:48AM - 9:00AM
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F62.00003: Improving Machine Learning Modelling of Physical Properties with Isometry Invariants
Alya Alqaydi, Bartomeu Monserrat
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Tuesday, March 7, 2023
9:00AM - 9:12AM
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F62.00004: Machine Learning Model of Generalized Force Field in Condensed Matter Systems
Gia-Wei Chern, Puhan Zhang, Sheng Zhang
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Tuesday, March 7, 2023
9:12AM - 9:24AM
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F62.00005: Improvements to Neural Network Backflow Wavefunctions
Zejun Liu, Bryan K Clark
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Tuesday, March 7, 2023
9:24AM - 9:36AM
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F62.00006: Similarities and differences in flat-band models with randomness detected by machine learning
Takumi Kuroda, Tomonari Mizoguchi, Yasuhiro Hatsugai
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Tuesday, March 7, 2023
9:36AM - 9:48AM
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F62.00007: Studying the Superfluid Ground-State of the Unitary Fermi Gas with Fermionic Neural Networks.
Wan Tong Lou, Gino W Cassella, Halvard Sutterud, W Matthew C Foulkes, Johannes Knolle, David Pfau, James Spencer
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Tuesday, March 7, 2023
9:48AM - 10:00AM
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F62.00008: Machine learning quantum Monte Carlo: application to water clusters
Matteo Peria, Michele Casula, A. Marco Saitta
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Tuesday, March 7, 2023
10:00AM - 10:12AM
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F62.00009: Inverse Hamiltonian design by automatic differentiation
Koji Inui, Yukitoshi Motome
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Tuesday, March 7, 2023
10:12AM - 10:24AM
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F62.00010: Variational simulations of fermionic matter with neural-network quantum states
Jannes Nys, Giuseppe Carleo
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Tuesday, March 7, 2023
10:24AM - 10:36AM
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F62.00011: Langevin Dynamics/Monte Carlo Simulations of Nanoscale Dielectric Function Modulations of Moire Materials
Steven B Hancock
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Tuesday, March 7, 2023
10:36AM - 10:48AM
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F62.00012: Machine learning universal empirical pseudopotentials for density functional theory calculations
Rokyeon Kim, Young-Woo Son
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