activity
20222026
most citedData-driven discovery of active nematic hydrodynamics

39 citations · 71 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.soft2026

Mechanics of heterogeneous fiber networks

Kyu Hwan Choi, Sattvic Ray, Reef Sweeney +2

Internally generated active stresses drive soft materials into architectures inaccessible to thermal self-assembly. We use a microtubule-based active fluid to assemble and irrevers…

cond-mat.soft2024★ 2 cited

Active assembly and non-reciprocal dynamics of elastic membranes

John Berezney, Sattvic Ray, Itamar Kolvin +6

Equilibrium self-assembly and conventional materials processing techniques fall far short of mimicking dynamic self-actuating processes that are commonplace throughout biology. To…

cond-mat.soft2024

Deep-learning Optical Flow Outperforms PIV in Obtaining Velocity Fields from Active Nematics

Phu N. Tran, Sattvic Ray, Linnea Lemma +6

Deep learning-based optical flow (DLOF) extracts features in adjacent video frames with deep convolutional neural networks. It uses those features to estimate the inter-frame motio…

cond-mat.soft2023★ 30 cited

Rectified Rotational Dynamics of Mobile Inclusions in Two-Dimensional Active Nematics

Sattvic Ray, Jie Zhang, Zvonimir Dogic

We investigate the dynamics of mobile inclusions embedded in 2D active nematics. The interplay between the inclusion shape, the boundary-induced nematic order, and the autonomous f…

cond-mat.soft2022★ 39 cited

Data-driven discovery of active nematic hydrodynamics

Chaitanya Joshi, Sattvic Ray, Linnea Lemma +5

Two-dimensional active nematics are often modeled using phenomenological continuum theories that describe the dynamics of the nematic director and fluid velocity through partial di…