24 citations · 34 across the 9 of their papers we have counts for
6 papers · 1 filter
Work as a function of protocol duration for the efficient erasure of an underdamped memory: isothermal to adiabatic transition
Nicolas Barros, Stephen Whitelam, Sergio Ciliberto +1
We use evolutionary reinforcement learning to determine efficient time-dependent erasure protocols for an underdamped cantilever moving in a double-well potential, an experimental…
A neural-network Maxwell's demon learns cold damping for work extraction
Stephen Whitelam, Sergio Ciliberto, Ludovic Bellon
We train a neural-network Maxwell's demon to extract work from a model of an underdamped micromechanical cantilever subject to thermal noise. The demon, which periodically adjusts…
Benchmark control problems in nonequilibrium statistical mechanics
Stephen Whitelam, Corneel Casert, Megan Engel +1
We present a set of computer codes designed to test methods for optimizing time-dependent control protocols in fluctuating nonequilibrium systems. Each problem consists of a stocha…
Nonlinear thermodynamic computing out of equilibrium
Stephen Whitelam, Corneel Casert
We present the design for a thermodynamic computer that can perform arbitrary nonlinear calculations in or out of equilibrium. Simple thermodynamic circuits, fluctuating degrees of…
Learning efficient erasure protocols for an underdamped memory
Nicolas Barros, Stephen Whitelam, Sergio Ciliberto +1
We apply evolutionary reinforcement learning to a simulation model in order to identify efficient time-dependent erasure protocols for a physical realization of a one-bit memory by…
Learning protocols for the fast and efficient control of active matter
Corneel Casert, Stephen Whitelam
We show that it is possible to learn protocols that effect fast and efficient state-to-state transformations in simulation models of active particles. By encoding the protocol in t…