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Found 3 papers, 1 papers with code
Deep-learning Optical Flow Outperforms PIV in Obtaining Velocity Fields from Active Nematics
Deep learning-based optical flow (DLOF) extracts features in adjacent video frames with deep convolutional neural networks.
Vesicle shape transformations driven by confined active filaments
In active matter systems, deformable boundaries provide a mechanism to organize internal active stresses and perform work on the external environment.
Soft Condensed Matter
Optimal Control of Active Nematics
In this work we present the first systematic framework to sculpt active nematics systems, using optimal control theory and a hydrodynamic model of active nematics.
Soft Condensed Matter
