Thursday, March 7, 2024
3:00PM - 3:36PM
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W28.00001: Symmetry-equivariant Neural Networks for Understanding and Designing Physical Systems: Advances, Challenges, and Opportunities
Invited Speaker:
Tess E Smidt
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Thursday, March 7, 2024
3:36PM - 3:48PM
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W28.00002: Stochastic force inference via density estimation
Victor Chardès, Suryanarayana Maddu, Michael J Shelley
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Thursday, March 7, 2024
3:48PM - 4:00PM
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W28.00003: Ab initio uncertainty quantification in scattering analysis of microscopy
Mengyang Gu, Yue He, Xubo Liu, Yimin Luo
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Thursday, March 7, 2024
4:00PM - 4:12PM
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W28.00004: Combining physics with multi-fidelity computation for improved Bayesian active learning based exploration over lattice Hamiltonian system
Arpan Biswas, Sai Mani Prudhvi Valleti, Rama K Vasudevan, Sergei V Kalinin, Maxim Ziatdinov
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Thursday, March 7, 2024
4:12PM - 4:24PM
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W28.00005: Characterizing Inference of Non-reciprocal Connections in the Kinetic Ising Model
Peter Fields, Cheyne Weis, Stephanie E Palmer, Peter Littlewood
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Thursday, March 7, 2024
4:24PM - 4:36PM
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W28.00006: Abstract Withdrawn
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Thursday, March 7, 2024
4:36PM - 4:48PM
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W28.00007: Data-Enabled Coarse-Graining of Confined Simple Liquids
Ishan M Nadkarni, Haiyi Wu, Narayana R Aluru
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Thursday, March 7, 2024
4:48PM - 5:00PM
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W28.00008: Abstract Withdrawn
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Thursday, March 7, 2024
5:00PM - 5:12PM
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W28.00009: ABSTRACT WITHDRAWN
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Thursday, March 7, 2024
5:12PM - 5:24PM
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W28.00010: Self-supervised deep learning for intense charged particle beam dynamics with hard physics constraints
Alexander Scheinker, Reeju Pokharel
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Thursday, March 7, 2024
5:24PM - 5:36PM
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W28.00011: Learning biophysical energy functions from protein structure data with physically-informed equivariant neural networks
Kevin A Borisiak, Armita Nourmohammad, Michael N Pun, Gian Marco Visani
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