27 citations · 78 across the 14 of their papers we have counts for
6 papers · 1 filter
Magic sizes enable minimal-complexity, high-fidelity assembly of programmable shells
Botond Tyukodi, Fernando Caballero, Daichi Hayakawa +4
Recent advances in synthetic methods enable designing subunits that self-assemble into structures with precise, finite sizes and well-defined architectures, but yields are frequent…
Active noise-induced dynamic clustering of passive colloids
Layne B. Frechette, Aparna Baskaran, Michael F. Hagan
Active fluids generate spontaneous, often chaotic mesoscale flows. Harnessing these flows to drive embedded soft materials into structures with controlled length scales and lifetim…
Closed-loop control of active nematic flows
Katsu Nishiyama, John Berezney, Michael M. Norton +5
Living things enact control of non-equilibrium, dynamical structures through complex biochemical networks, accomplishing spatiotemporally-orchestrated physiological tasks such as c…
Achieving designed texture and flows in bulk active nematics using optimal control theory
Saptorshi Ghosh, Aparna Baskaran, Michael F. Hagan
Being intrinsically nonequilibrium, active materials can potentially perform functions that would be thermodynamically forbidden in passive materials. However, active systems have…
Spatiotemporal control of structure and dynamics in a polar active fluid
Saptorshi Ghosh, Chaitanya Joshi, Aparna Baskaran +1
We apply optimal control theory to a model of a polar active fluid (the Toner-Tu model), with the objective of driving the system into particular emergent dynamical behaviors or pr…
Deep-learning Optical Flow Outperforms PIV in Obtaining Velocity Fields from Active Nematics
Phu N. Tran, Sattvic Ray, Linnea Lemma +6
Deep learning-based optical flow (DLOF) extracts features in adjacent video frames with deep convolutional neural networks. It uses those features to estimate the inter-frame motio…