Deep learning for predicting the evolution of chiral active particles motion based on experimental platform

Chiral active particles (CAPs) exhibit intricate collective behaviors, yet their characterization via traditional simulations or experiments is often labor-intensive and resource-demanding. To overcome these challenges, we introduce an integrated experimental platform and deep learning (DL) framewor...

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Bibliografiske detaljer
Main Authors: Xiaoyuan Yu, Renjie Wang, Baoquan Ai, Fengguo Li
Format: Artigo
Sprog:Inglês
Udgivet: IOP Publishing 2025-01-01
Serier:New Journal of Physics
Fag:
deep learning
chiral active particles
predicting
experimental platform
Online adgang:https://doi.org/10.1088/1367-2630/adfb27
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