Thursday, March 17, 2022
8:00AM - 8:36AM
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S47.00001: Towards interpretable and reliable machines learning physics
Invited Speaker:
Anna Dawid
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Thursday, March 17, 2022
8:36AM - 8:48AM
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S47.00002: Direct sampling of projected entangled-pair states
Tom Vieijra, Jutho Haegeman, Frank Verstraete, Laurens Vanderstraeten
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Thursday, March 17, 2022
8:48AM - 9:00AM
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S47.00003: Neural Network Ansatz for Finite Temperature
Filippo Vicentini, Riccardo Rossi, Giuseppe Carleo
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Thursday, March 17, 2022
9:00AM - 9:12AM
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S47.00004: Neural network representation for minimally entangled typical thermal state
Hongwei Chen, Douglas G Hendry, Adrian E Feiguin
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Thursday, March 17, 2022
9:12AM - 9:24AM
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S47.00005: Ground-state properties via machine learning quantum constraints
Pei-Lin Zheng, Si-Jing Du, Yi Zhang
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Thursday, March 17, 2022
9:24AM - 9:36AM
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S47.00006: Gauge invariant autoregressive neural network for quantum lattice models
Zhuo Chen, Di Luo, Kaiwen Hu, Zhizhen Zhao, Vera M Hur, Bryan K Clark
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Thursday, March 17, 2022
9:36AM - 9:48AM
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S47.00007: Looking Under the Hood: How Convolutional Neural Networks Successfully Approximate Quantum Spin Hamiltonians
Shah Saad Alam, Yilong Ju, Jonathan Minoff, Fabio Anselmi, Ankit B Patel, Han Pu
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Thursday, March 17, 2022
9:48AM - 10:00AM
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S47.00008: A first principles informed machine learning model for helical nanostructures
Amartya S Banerjee, Susanta Ghosh, Shashank Pathrudkar, Hsuan Ming Yu
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Thursday, March 17, 2022
10:00AM - 10:12AM
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S47.00009: Machine learning frequency-resolved phonon transport from ultrafast electron diffraction
Zhantao Chen, Nina Andrejevic, Tongtong Liu, Xiaozhe Shen, Thanh Nguyen, Nathan C Drucker, Mingda Li
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Thursday, March 17, 2022
10:12AM - 10:24AM
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S47.00010: Interpretable Machine Learning for Materials Design
Timur Bazhirov, James Dean, Rahul Bhowmik, Sergey Barabash, Matthias Scheffler, Thomas A Purcell
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Thursday, March 17, 2022
10:24AM - 10:36AM
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S47.00011: Improving the Accuracy and Efficiency of Nonlocal Exchange Functionals via Machine Learning
Kyle Bystrom, Boris Kozinsky
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