Monday, March 6, 2023
8:00AM - 8:36AM
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A61.00001: Non-metric interaction rules in soft and living matter
Invited Speaker:
Daniel M Sussman
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Monday, March 6, 2023
8:36AM - 8:48AM
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A61.00002: Mechanical loss in doped amorphous oxides with machine learning potentials
Jun Jiang, Rui Zhang, James N Fry, Riccardo Bassiri, Martin M Fejer, Hai-Ping Cheng
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Monday, March 6, 2023
8:48AM - 9:00AM
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A61.00003: Does fluid structure encode predictions of glassy dynamics?
Tomilola Obadiya, Daniel M Sussman
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Monday, March 6, 2023
9:00AM - 9:12AM
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A61.00004: Raman Spectra and Structure Analysis of LIGO Coating Amorphous Oxides
Rui Zhang, Jun Jiang, Alec S Mishkin, James N Fry, Riccardo Bassiri, Martin M Fejer, Hai-Ping Cheng
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Monday, March 6, 2023
9:12AM - 9:24AM
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A61.00005: Accurate identification of basins of attraction in jammed and glassy systems
Praharsh Suryadevara, Mathias Casiulis, Stefano Martiniani
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Monday, March 6, 2023
9:24AM - 9:36AM
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A61.00006: Amorphous Carbon and the Importance of Hybridization on Thermal Properties
Paul Desmarchelier, Jean-Yves Raty, Valentina M Giordano, Konstantinos Termentzidis
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Monday, March 6, 2023
9:36AM - 9:48AM
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A61.00007: Low energy excitations in Mean Field Spin Glasses at zero temperature
Flavio Nicoletti, Federico Ricci-Tersenghi, Silvio Franz, Giorgio Parisi, Cosimo Lupo
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Monday, March 6, 2023
9:48AM - 10:00AM
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A61.00008: Size and quality of quantum mechanical data-set for training Neural Network Force Fields for liquid water
Márcio S Gomes-Filho, Alberto Torres, Alexandre R Rocha, Luana Pedroza
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Monday, March 6, 2023
10:00AM - 10:12AM
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A61.00009: Atomic insights into fibril elongation: beyond dock-and-lock mechanisms
Sharareh Jalali, Cristiano L Dias
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Monday, March 6, 2023
10:12AM - 10:24AM
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A61.00010: Simulating the insertion dynamics of an anionic model protein into a cationic triblock copolymer membrane
Sylvia M Luyben
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Monday, March 6, 2023
10:24AM - 10:36AM
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A61.00011: PyQMC: an all-Python real-space quantum Monte Carlo module in PySCF
William A Wheeler
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Monday, March 6, 2023
10:36AM - 10:48AM
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A61.00012: Active Learning of Diffusion Pathways for Machine-Learned Interatomic Potentials
Michael J Waters, James M Rondinelli
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