Tuesday, March 5, 2019
2:30PM - 3:06PM
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H52.00001: A case study in neural networks for scientific data: generating atomic structures
Invited Speaker:
Tess Smidt
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Tuesday, March 5, 2019
3:06PM - 3:18PM
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H52.00002: A computational model for crumpled thin sheets to complement data-driven machine learning
Jovana Andrejevic, Jordan Hoffmann, Yohai Bar-Sinai, Lisa Lee, Shruti Mishra, Shmuel Rubinstein, Christopher Rycroft
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Tuesday, March 5, 2019
3:18PM - 3:30PM
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H52.00003: Machine Learning in a data-limited regime: Augmenting experiments with synthetic data uncovers order in crumpled sheets
Lisa Lee, Jordan Hoffmann, Yohai Bar-Sinai, Jovana Andrejevic, Shruti Mishra, Shmuel Rubinstein, Christopher Rycroft
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Tuesday, March 5, 2019
3:30PM - 3:42PM
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H52.00004: Search and design of stretchable graphene kirigami using convolutional neural networks
Paul Hanakata, Ekin Dogus Cubuk, David K Campbell, Harold Park
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Tuesday, March 5, 2019
3:42PM - 3:54PM
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H52.00005: Clog prediction in granular hoppers using machine learning methods
Jesse Hanlan, Douglas Durian
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Tuesday, March 5, 2019
3:54PM - 4:06PM
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H52.00006: Tracking Topological Defects in 2D Active Nematics Using Convolutional Neural Networks
Ruoshi Liu, Pengyu Hong, Michael Norton, Seth Fraden
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(Author Not Attending)
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H52.00007: Connecting structure and dynamics in a model of confluent cell tissues using machine learning
Tristan A Sharp, Andrea J Liu
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Tuesday, March 5, 2019
4:18PM - 4:30PM
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H52.00008: Design and learning in multi-stable mechanical networks
Menachem Stern, Matthew Pinson, Arvind Murugan
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Tuesday, March 5, 2019
4:30PM - 4:42PM
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H52.00009: DropNet : A neural network solution to flow instabilities.
Maxime Lavech du Bos, Joel Marthelot, Pierre-Thomas Brun
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Tuesday, March 5, 2019
4:42PM - 4:54PM
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H52.00010: Visualizing probabilistic models and data with Intensive Principal Component Analysis (InPCA)
Katherine Quinn, Colin Clement, Francesco De Bernardis, Michael D Niemack, James Patarasp Sethna
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Tuesday, March 5, 2019
4:54PM - 5:06PM
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H52.00011: Physical Symmetries Embedded in Neural Networks
Marios Mattheakis, David Sondak, Pavlos Protopapas
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Tuesday, March 5, 2019
5:06PM - 5:18PM
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H52.00012: Maximizing thermal efficiency of heat engines using neuroevolutionary strategies for reinforcement learning
Christopher Beeler, Uladzimir Yahorau, Rory Coles, Kyle Mills, Isaac Tamblyn
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