Data Science, ML and Active Matter

Presentations

• Learning accurate closures of a kinetic theory of an active fluid.

  ORAL

  March 9, 2023, 2:30 PM – March 9, 2023, 2:42 PM

  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

  View abstract →

• Data-driven approaches to predict and understand the dynamics of active nematics

  ORAL · Invited

  March 9, 2023, 2:42 PM – March 9, 2023, 3:18 PM

  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

  View abstract →

• Directing assembly and encoding information in active matter via light patterns

  ORAL

  March 9, 2023, 3:18 PM – March 9, 2023, 3:30 PM

  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

  View abstract →

• Learning a compact representation of the nematic director of active nematics

  ORAL

  March 9, 2023, 3:30 PM – March 9, 2023, 3:42 PM

  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

  View abstract →

• Categorizing spatiotemporal dynamics of bacterial swarm fronts

  ORAL

  March 9, 2023, 3:42 PM – March 9, 2023, 3:54 PM

  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

  View abstract →

• Predicting spatio-temporal patterns of cells guided by time-varying guidance cues with reservoir computing

  ORAL

  March 9, 2023, 3:54 PM – March 9, 2023, 4:06 PM

  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

  View abstract →

• Rapid detection and classification of motile cell tracks in 3D

  ORAL

  March 9, 2023, 4:06 PM – March 9, 2023, 4:18 PM

  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

  View abstract →

• Neural networks for data-driven models of cell mechanics

  ORAL

  March 9, 2023, 4:18 PM – March 9, 2023, 4:30 PM

  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

  View abstract →