activity
20202026
most citedDynamic Flow Control Through Active Matter Programming Language

14 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

What Should a Large Language Model See? Physical Invariants as a Data Representation for PDE Discovery

Fan Yang, Matt Thomson

Understanding how molecular interactions govern macroscopic behaviour is a central challenge in molecular sciences. However, conventional theory building cannot keep pace with the…

cond-mat.soft2024★ 1 cited

Geometry-Dependent Defect Merging Induces Bifurcated Dynamics in Active Networks

Fan Yang, Shichen Liu, Hao Wang +3

Cytoskeletal networks can repair defects to maintain structural integrity. However, the mechanisms and dynamics of defect merging remain poorly understood. Here we report a geometr…

cond-mat.soft2024★ 1 cited

Force Propagation in Active Cytoskeletal Networks

Shichen Liu, Rosalind Wenshan Pan, Heun Jin Lee +6

In biological systems, molecular-scale forces and motions are pivotal for enabling processes like motility, shape change, and replication. These forces and motions are organized, a…

cond-mat.soft2022★ 14 cited

Dynamic Flow Control Through Active Matter Programming Language

Fan Yang, Shichen Liu, Heun Jin Lee +2

Cells control fluid flows with a spatial and temporal precision that far exceeds the capabilities of current microfluidic technologies. Cells achieve this superior spatio-temporal…

cond-mat.soft2020★ 3 cited

Persistent fluid flows defined by active matter boundaries

Zijie Qu, Dominik Schildknecht, Shahriar Shadkhoo +5

Biological systems achieve precise control over ambient fluids through the self-organization of active protein structures including flagella, cilia, and cytoskeletal networks. In a…