Data Science, ML and Active Matter
FOCUS · T53 · ID: 1066996
Presentations
-
Learning accurate closures of a kinetic theory of an active fluid.
ORAL
–
Presenters
-
Suryanarayana Maddu
- Flatiron Institute
Authors
-
Suryanarayana Maddu
- Flatiron Institute
-
Scott Weady
- Flatiron Institute
-
Michael J Shelley
- Courant Inst. (NYU), Flatiron Inst. (SF)
- Flat Iron Institute
-
-
Data-driven approaches to predict and understand the dynamics of active nematics
ORAL · Invited
–
Publication: Joshi, C; Ray, S; Lemma, L; Varghese, M.; Sharp, G; Dogic, Z; Baskaran, A*; Hagan, MF*, "Data-driven discovery of active nematic hydrodynamics", doi.org/10.48550/arXiv.2202.12854
Presenters
-
Michael F Hagan
- Brandeis Univ
- Department of Physics & MRSEC, Brandeis University, Waltham, MA
- Brandeis University
Authors
-
Michael F Hagan
- Brandeis Univ
- Department of Physics & MRSEC, Brandeis University, Waltham, MA
- Brandeis University
-
-
Directing assembly and encoding information in active matter via light patterns
ORAL
–
Presenters
-
Jerome P Delhommelle
- University of Massachusetts, Lowell
Authors
-
Jerome P Delhommelle
- University of Massachusetts, Lowell
-
Caroline Desgranges
- University of Massachusetts, Lowell
- University of Massachusetts Lowell
-
-
Learning a compact representation of the nematic director of active nematics
ORAL
–
Presenters
-
Phu N Tran
- Brandeis University
Authors
-
Phu N Tran
- Brandeis University
-
Zvonimir Dogic
- University of California, Santa Barbara
-
Aparna Baskaran
- Brandeis Univ
- Brandeis University
-
Pengyu Hong
- Brandeis University
-
Michael F Hagan
- Brandeis Univ
- Department of Physics & MRSEC, Brandeis University, Waltham, MA
- Brandeis University
-
-
Categorizing spatiotemporal dynamics of bacterial swarm fronts
ORAL
–
Presenters
-
Alasdair Hastewell
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology MIT
Authors
-
Alasdair Hastewell
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology MIT
-
Hannah Jeckel
- University of Basel
- Biozentrum, University of Basel
-
Andreea-Oana Chelban
- Biozentrum, University of Basel
-
Gabriel Rodriguez-Roig
- Florida International University
-
Knut Drescher
- University of Basel
- Biozentrum, University of Basel
-
Jorn Dunkel
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology MIT
-
-
Predicting spatio-temporal patterns of cells guided by time-varying guidance cues with reservoir computing
ORAL
–
Presenters
-
Hoony Kang
- University of Maryland, College Park
Authors
-
Hoony Kang
- University of Maryland, College Park
-
Keshav Srinivasan
- University of Maryland, College Park
-
Michelle Girvan
- University of Maryland, College Park
-
Wolfgang Losert
- University of Maryland College Park
- University of Maryland, College Park
-
-
Rapid detection and classification of motile cell tracks in 3D
ORAL
–
Presenters
-
Samuel A Matthews
- University of York
Authors
-
Samuel A Matthews
- University of York
-
Laurence G Wilson
- University of York
-
James Walker
- University of York
-
Victoria Hodge
- University of York
-
-
Neural networks for data-driven models of cell mechanics
ORAL
–
Presenters
-
Matthew Schmitt
- University of Chicago
Authors
-
Matthew Schmitt
- University of Chicago
-
Jonathan Colen
- University of Chicago
-
Stefano Sala
- Loyola University Chicago
-
Margaret Gardel
- University of Chicago
-
Patrick W Oakes
- Loyola University Chicago
-
Vincenzo Vitelli
- University of Chicago
-