4 papers
Learning to shine: Neuroevolution enables optical control of phase transitions
Sraddha Agrawal, Stephen Whitelam, Pierre Darancet
We address the problem of active optical steering of structural phase transitions in solids. We demonstrate that existing reinforcement learning approaches can derive optimal time-…
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…
Adaptive AI-Driven Material Synthesis: Towards Autonomous 2D Materials Growth
Leonardo Sabattini, Annalisa Coriolano, Corneel Casert +7
Two-dimensional (2D) materials are poised to revolutionize current solid-state technology with their extraordinary properties. Yet, the primary challenge remains their scalable pro…