Wednesday, March 6, 2024
8:00AM - 8:12AM
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M60.00001: Machine learning the Hohenberg-Kohn map to electronic excited states
Yuanming Bai, Leslie Vogt-Maranto, Mark E Tuckerman, William J Glover
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Wednesday, March 6, 2024
8:12AM - 8:24AM
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M60.00002: Equivariant neural network for lattice models in condensed matter systems
Gia-Wei Chern, Yunhao Fan
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Wednesday, March 6, 2024
8:24AM - 8:36AM
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M60.00003: Improving the Accuracy of Machine-Learning-Based Exchange Correlation Functionals for Predicting Electronic Properties
Xinyuan Liang, Mohan Chen
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Wednesday, March 6, 2024
8:36AM - 8:48AM
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M60.00004: Computational Graph Representation of Multiloop Feynman Diagrams
Tao Wang, Pengcheng Hou, Daniel P Cerkoney, Zhiyi Li, Xiansheng Cai, Kun Chen
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Wednesday, March 6, 2024
8:48AM - 9:00AM
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M60.00005: Machine Learning Many-Body Green's Functions for Molecular Excitation Spectra
Tianyu Zhu, Christian Venturella, Christopher Hillenbrand, Jiachen Li
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Wednesday, March 6, 2024
9:00AM - 9:12AM
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M60.00006: Machine-learning tight-binding model for large-scale electronic-structure calculations
Martin Schwade, David A Egger
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Wednesday, March 6, 2024
9:12AM - 9:24AM
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M60.00007: Machine learning the electronic structure of molecules via the one-body reduced density matrix
Xuecheng Shao, Mark E Tuckerman, Michele Pavanello
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Wednesday, March 6, 2024
9:24AM - 9:36AM
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M60.00008: Transport mechanism in Lithium thiophosphate
Davide Tisi, Lorenzo Gigli, Federico Grasselli, Michele Ceriotti
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Wednesday, March 6, 2024
9:36AM - 10:12AM
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M60.00009: Using Machine Learning to Establish the Importance of High-Level Electronic Structure: Elucidating the Role of Hydrogen Bonding in the Optical Spectroscopy of the Solvated Green Fluorescent Protein Chromophore
Invited Speaker:
Christine Isborn
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Wednesday, March 6, 2024
10:12AM - 10:24AM
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M60.00010: Reduced-density-matrix functional theory, many-body quantum resources, and machine learning
Carlos L Benavides-Riveros, Tomasz Wasak, Alessio Recati, Luis Colmenarez
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Wednesday, March 6, 2024
10:24AM - 10:36AM
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M60.00011: Machine learning-based compression of quantum many body physics: PCA and autoencoder representation of the vertex function
Jiawei Zang, Andrew Millis, Matija Medvidović, Dominik Kiese, Domenico Di Sante, Anirvan M Sengupta
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Wednesday, March 6, 2024
10:36AM - 10:48AM
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M60.00012: Learning the density matrix, a symmetry rich encoding of the electronic density.
Pol Febrer, Arghya Bhowmik, Miguel A Pruneda, Alberto Garcia, Peter B Jorgensen
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Wednesday, March 6, 2024
10:48AM - 11:00AM
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M60.00013: Circumventing the many-body problem by learning the two-body reduced density matrix
Jessica A. A Martinez B., Xuecheng Shao, Michele Pavanello
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