activity
20182023
most citedSelf-organization of multi-layer spiking neural networks

2 citations · 6 across the 9 of their papers we have counts for

collaborators
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5 papers · 1 filter

cond-mat.soft2023

Theoretical Limits of Energy Extraction in Active Fluids

Shahriar Shadkhoo, Matt Thomson

Active materials form a class of far-from-equilibrium systems that are driven internally and exhibit self-organization which can be harnessed to perform mechanical work. Inspired b…

cond-mat.soft2022

Spatiotemporal patterning of extensile active stresses in microtubule-based active fluids

Linnea M. Lemma, Minu Varghese, Tyler D. Ross +3

Active stresses, which are collectively generated by the motion of energy-consuming rod-like constituents, generate chaotic autonomous flows. Controlling active stresses in space a…

cond-mat.soft20211 cited

Programming Boundary Deformation Patterns in Active Networks

Zijie Qu, Jialong Jiang, Heun Jin Lee +3

Active materials take advantage of their internal sources of energy to self-organize in an automated manner. This feature provides a novel opportunity to design micron-scale machin…

cond-mat.soft2020

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…

cond-mat.soft2018

Controlling Organization and Forces in Active Matter Through Optically-Defined Boundaries

Tyler D. Ross, Heun Jin Lee, Zijie Qu +3

Living systems are capable of locomotion, reconfiguration, and replication. To perform these tasks, cells spatiotemporally coordinate the interactions of force-generating, "active"…