Search Results for author: Shahriar Shadkhoo

Found 2 papers, 0 papers with code

Linear Transformations in Autoencoder Latent Space Predict Time Translations in Active Matter System

no code implementations NeurIPS Workshop AI4Scien 2021 Enrique Amaya, Shahriar Shadkhoo, Dominik Schildknecht, Matt Thomson

ML approaches are relevant in active matter, a field that spans scales and studies dynamics of far-from-equilibrium systems where there are significant challenges in predicting macroscopic behavior from microscopic interactions of active particles.

Programming Boundary Deformation Patterns in Active Networks

no code implementations21 Jan 2021 Zijie Qu, Jialong Jiang, Heun Jin Lee, Rob Phillips, Shahriar Shadkhoo, Matt Thomson

Studying a large set of shapes, we observe that the active networks contract in a shape-preserving manner that persists over the course of contraction.

Soft Condensed Matter

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