Machine Learning in Nonlinear Physics and Mechanics
FOCUS · M34 · ID: 354960
Presentations
-
<u>Learning the onset of frictional motion</u>
Invited
–
Presenters
-
Yohai Bar-Sinai
- Google Research
Authors
-
Yohai Bar-Sinai
- Google Research
-
-
Detecting Depinning and Nonequilibrium Transitions with Unsupervised Machine Learning
ORAL
–
Presenters
-
Danielle McDermott
- Pacific Univ
Authors
-
Danielle McDermott
- Pacific Univ
-
Cynthia Reichhardt
- T1, Los Alamos National Laboratory
- Los Alamos Natl Lab
- Los Alamos National Laboratory
- Theoretical Division, Los Alamos National Laboratory
-
Charles Reichhardt
- T4, Los Alamos National Laboratory
- Los Alamos Natl Lab
- Los Alamos National Laboratory
- Theoretical Division, Los Alamos National Laboratory
-
-
Machine Learning and Benchtop Experiments
ORAL
–
Presenters
-
Shmuel Rubinstein
- Harvard University
- School of Engineering and Applied Sciences, Harvard University
Authors
-
Shmuel Rubinstein
- Harvard University
- School of Engineering and Applied Sciences, Harvard University
-
-
Supervised Autoencoder for Inverse Kirigami Design
ORAL
–
Presenters
-
Ekin Dogus Cubuk
- Google Inc.
- Google Inc
- Google Brain
Authors
-
Paul Hanakata
- Harvard University
-
Ekin Dogus Cubuk
- Google Inc.
- Google Inc
- Google Brain
-
David K Campbell
- Physics, Boston University
- Boston University
-
Harold S. Park
- Boston University
-
-
Softness Correlations in Low-Temperature Supercooled Liquids
ORAL
–
Presenters
-
Rahul Chacko
- James Franck Institute, University of Chicago
Authors
-
Rahul Chacko
- James Franck Institute, University of Chicago
-
François P Landes
- AO Team, Laboratoire de Recherche en Informatique
-
Giulio Biroli
- LPENS, Ecole Normale Superieure
- Laboratoire de Physique, École normale supérieure
- Ecole Normale Superieure
- Physics, Ecole Normale Superieure
-
Olivier Dauchot
- Laboratoire Gulliver, École supérieure de physique et de chimie industrielles de la Ville de Paris
-
Andrea Jo-Wei Liu
- Univ of Pennsylvania
- University of Pennsylvania
- Department of Physics and Astronomy, University of Pennsylvania
- Physics, University of Pennsylvania
- Physics and Astronomy, University of Pennsylvania
-
David Reichman
- Columbia University
- Department of Chemistry, Columbia University
-
-
Data-driven inference of thermodynamic properties from non-equilibrium stochastic fluctuations
ORAL
–
Presenters
-
Yoon Jung
- Massachusetts Institute of Technology MIT
Authors
-
Yoon Jung
- Massachusetts Institute of Technology MIT
-
Junang Li
- Massachusetts Institute of Technology MIT
-
Nikta Fakhri
- Massachusetts Institute of Technology MIT
- MIT
- Physics, Massachusetts Institute of Technology
- Massachusetts Institute of Technology
-
-
Inverse learning of material physics through in-situ image data and continuum modeling
ORAL
–
Presenters
-
Hongbo Zhao
- Massachusetts Institute of Technology MIT
Authors
-
Hongbo Zhao
- Massachusetts Institute of Technology MIT
-
Brian D Storey
- Toyota Research Institute
-
Richard Braatz
- Massachusetts Institute of Technology MIT
-
Martin Bazant
- Massachusetts Institute of Technology MIT
-
-
Using Machine Learning to analyze Defect Annihilation Dynamics in Smectic C films
ORAL
–
Presenters
-
Matthew Glaser
- Physics and Soft Materials Research Center, University of Colorado Boulder
- University of Colorado, Boulder
- Department of Physics, University of Colorado, Boulder
- Institute of Solid State Physics, Otto von Guericke University
Authors
-
Matthew Glaser
- Physics and Soft Materials Research Center, University of Colorado Boulder
- University of Colorado, Boulder
- Department of Physics, University of Colorado, Boulder
- Institute of Solid State Physics, Otto von Guericke University
-
Eric Minor
- Physics and Soft Materials Research Center, University of Colorado Boulder
-
Stian Howard
- Physics and Soft Materials Research Center, University of Colorado Boulder
-
Adam Green
- Physics and Soft Materials Research Center, University of Colorado Boulder
-
Cheol Park
- Physics and Soft Materials Research Center, University of Colorado Boulder
- Physics and Soft Materials Research Center, University of Colorado
-
Noel Anthony Clark
- Physics and Soft Materials Research Center, University of Colorado Boulder
- University of Colorado, Boulder
- Department of Physics, University of Colorado, Boulder
- Physics and Soft Materials Research Center, University of Colorado
-
-
Experimental Realization of Reservoir Computing with Wave Chaotic Systems
ORAL
–
Presenters
-
Shukai Ma
- University of Maryland, College Park
Authors
-
Shukai Ma
- University of Maryland, College Park
-
Thomas M Antonsen
- University of Maryland, College Park
-
Edward Ott
- University of Maryland, College Park
-
Sarthak Chandra
- University of Maryland, College Park
-
Steven Anlage
- University of Maryland, College Park
- Department of Physics and Department of Electrical and Computer Engineering, University of Maryland, College Park
- Physics Department, University of Maryland, College Park
- Center for Quantum Materials, University of Maryland
-
-
Chaotic source separation solved by a tank of water through invertible generalized synchronization
ORAL
–
Presenters
-
Zhixin Lu
- University of Pennsylvania
Authors
-
Zhixin Lu
- University of Pennsylvania
-
Jason Kim
- University of Pennsylvania
-
Danielle Bassett
- University of Pennsylvania
-
-
The Dependence of Reservoir Computing on System Parameters
ORAL
–
Presenters
-
Louis Pecora
- United States Naval Research Laboratory
Authors
-
Louis Pecora
- United States Naval Research Laboratory
-
Thomas L Carroll
- United States Naval Research Laboratory
-
-
Reduced network extremal ensemble learning (RenEEL) scheme for community detection in complex networks
ORAL
–
Presenters
-
Kevin E. Bassler
- Department of Physics and TcSUH, Univ of Houston
Authors
-
Kevin E. Bassler
- Department of Physics and TcSUH, Univ of Houston
-
Jiahao Guo
- Department of Physics and TcSUH, Univ of Houston
-
Pramesh Singh
- Department of Physics and TcSUH, Univ of Houston
-
-
Visualizing statistical models in Minkowski space: an analytical coordinate embedding
ORAL
–
Presenters
-
Han Kheng Teoh
- Cornell University
Authors
-
Han Kheng Teoh
- Cornell University
-
Katherine Quinn
- The Graduate Center, City University of New York
- Princeton University
-
Colin B Clement
- Cornell University
-
Jaron Kent-Dobias
- Cornell University
-
Qingyang Xu
- Cornell University
-
James Patarasp Sethna
- Cornell University
- Laboratory of Atomic and Solid State Physics, Cornell University
-