Tuesday, March 5, 2024
8:00AM - 8:36AM
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F18.00001: Controlling Colloidal Assembly & Reconfiguration
Invited Speaker:
Michael A Bevan
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Tuesday, March 5, 2024
8:36AM - 8:48AM
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F18.00002: Quantifying dynamics of soft and active matter with microscopy and machine learning
Gildardo Martinez, Justin Siu, Dylan Gage, Emma Kao, Juan Carlos Avila, Ruilin You, Ryan J McGorty
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Tuesday, March 5, 2024
8:48AM - 9:00AM
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F18.00003: Learning active nematohydrodynamics with SINDy-PI
Chris Amey, Michael F Hagan, Aparna Baskaran
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Tuesday, March 5, 2024
9:00AM - 9:36AM
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F18.00004: Grant Rotskoff
Invited Speaker:
Grant M Rotskoff
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Tuesday, March 5, 2024
9:36AM - 9:48AM
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F18.00005: Learning cell division strategies across diverse organisms
Shijie Zhang, Chenyi Fei, Jorn Dunkel
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Tuesday, March 5, 2024
9:48AM - 10:00AM
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F18.00006: A Spectral Approach for Learning Spatiotemporal Neural Differential Equations
Mingtao Xia, Xiangting Li, Qijing Shen, Tom Chou
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Tuesday, March 5, 2024
10:00AM - 10:12AM
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F18.00007: Controlling Assembly and Encoding in Active Matter Using Light Patterns
Jerome Delhommelle, Caroline Desgranges
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Tuesday, March 5, 2024
10:12AM - 10:24AM
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F18.00008: Improved KCNQ2 gene missense variant interpretation with artificial intelligence.
Aritz Leonardo, Aitor Bergara, Alvaro Villarroel, Markel García Ibarluzea, Rafael Ramis Cortés, Alba Sáez-Matía, Eider Núñez
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Tuesday, March 5, 2024
10:24AM - 10:36AM
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F18.00009: Uncovering interpretable low-dimensional geometric structures in gene expression using curvature regularized variational autoencoders
Jason Kim, Nicolas Perrin-Gilbert, Paul Klein, Erkan Narmanli, Chris Myers, Itai Cohen, Joshua J Waterfall, James P Sethna
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Tuesday, March 5, 2024
10:36AM - 10:48AM
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F18.00010: Convolutional Neural Network Analysis of Molecular Docking for Cancer Drug Discovery
Gaige Riggs, Ridwan Sakidja
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Tuesday, March 5, 2024
10:48AM - 11:00AM
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F18.00011: Combining Neural Networks and Principal Component Analysis
David O Yevick, Karolina Suszek
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