100 citations · 129 across the 9 of their papers we have counts for
12 papers · 1 filter
Learning noisy tissue dynamics across time scales
Ming Han, John Devany, Michel Fruchart +2
Tissue dynamics play a crucial role in biological processes ranging from inflammation to morphogenesis. However, these noisy multicellular dynamics are notoriously hard to predict.…
Learning via mechanosensitivity and activity in cytoskeletal networks
Deb S. Banerjee, Martin J. Falk, Margaret L Gardel +3
In this work we show how a network inspired by a coarse-grained description of actomyosin cytoskeleton can learn - in a contrastive learning framework - from environmental perturba…
Motor crosslinking augments elasticity in active nematics
Steven A. Redford, Jonathan Colen, Jordan L. Shivers +8
In active materials, uncoordinated internal stresses lead to emergent long-range flows. An understanding of how the behavior of active materials depends on mesoscopic (hydrodynamic…
Measuring response functions of active materials from data
Mehdi Molaei, Steven A. Redford, Wen-hung Chou +4
From flocks of birds to biomolecular assemblies, systems in which many individual components independently consume energy to perform mechanical work exhibit a wide array of strikin…
Learning to learn: Non-equilibrium design protocols for adaptable materials
Martin J. Falk, Jiayi Wu, Ayanna Matthews +5
Evolution in time-varying environments naturally leads to adaptable biological systems that can easily switch functionalities. Advances in the synthesis of environmentally-responsi…
Catapulting of topological defects through elasticity bands in active nematics
Nitin Kumar, Rui Zhang, Steven A. Redford +2
Active materials are those in which individual, uncoordinated local stresses drive the material out of equilibrium on a global scale. Examples of such assemblies can be seen across…