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Found 6 papers, 1 papers with code
Rational social distancing in epidemics with uncertain vaccination timing
During epidemics people may reduce their social and economic activity to lower their risk of infection.
Learning to swim efficiently in a nonuniform flow field
We study how local and non-local information can be used to train a swimmer to achieve particular swimming tasks in a non-uniform flow field, in particular a zig-zag shear flow.
Rational social distancing policy during epidemics with limited healthcare capacity
We find optimal interventions vary less strongly in time when interventions are costly to the government and that the critical cost of the policy switch depends on how costly interventions are.
Nash Neural Networks : Inferring Utilities from Optimal Behaviour
We have applied the $N^3$ to study the optimal behaviour during epidemics, in which individuals can choose to socially distance depending on the state of the pandemic and the cost of being infected.
Whirligig Beetles as Corralled Active Brownian Particles
We study the collective dynamics of groups of whirligig beetles Dineutus discolor (Coleoptera: Gyrinidae) swimming freely on the surface of water.
The role of the cell cycle in collective cell dynamics
We develop a simple model of the cell cycle, the fundamental regulatory network controlling growth and division, and couple this to the physical forces arising within the cell collective.
Biological Physics Soft Condensed Matter
