DOE OSTI · 2566635
Tailoring interactions between active nematic defects with reinforcement learning
Abstract
Active nematics are a paradigmatic active matter system which generate micron-scale patterns and flows. Here we show that their control can be enabled by model-free techniques such as reinforcement learning.
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Floyd, Carlos [Department of Chemistry, The University of Chicago, Chicago, Illinois 60637, USA, The James Franck Institute, The University of Chicago, Chicago, Illinois 60637, USA] (ORCID:0000000262707250), Dinner, Aaron R. [Department of Chemistry, The University of Chicago, Chicago, Illinois 60637, USA, The James Franck Institute, The University of Chicago, Chicago, Illinois 60637, USA] (ORCID:0000000183286427), Vaikuntanathan, Suriyanarayanan [Department of Chemistry, The University of Chicago, Chicago, Illinois 60637, USA, The James Franck Institute, The University of Chicago, Chicago, Illinois 60637, USA]. 2025-01-01. Tailoring interactions between active nematic defects with reinforcement learning. https://doi.org/10.1039/d5sm00063g
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