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The Journal of Chemical Physics|December 16, 2024
Using the Metropolis algorithm to explore the loss surface of a recurrent neural networkCorneel Casert, Stephen WhitelamNature Communications|January 10, 2026
Nonlinear thermodynamic computing out of equilibriumStephen Whitelam, Corneel CasertNature Communications|October 23, 2024
Learning protocols for the fast and efficient control of active matterCorneel Casert, Stephen WhitelamNature Communications|February 29, 2024
Learning stochastic dynamics and predicting emergent behavior using transformersCorneel Casert, Isaac Tamblyn, Stephen WhitelamPhysical Review Letters|October 1, 2021
Dynamical Large Deviations of Two-Dimensional Kinetically Constrained Models Using a Neural-Network State AnsatzCorneel Casert, Tom Vieijra, Stephen Whitelam, et al.Nature Communications|July 30, 2022
Robust prediction of force chains in jammed solids using graph neural networksRituparno Mandal, Corneel Casert, Peter SollichThe Journal of Chemical Physics|May 27, 2010
Nonclassical assembly pathways of anisotropic particlesStephen WhitelamPhysical Review Letters|September 28, 2010
Control of pathways and yields of protein crystallization through the interplay of nonspecific and specific attractionsStephen WhitelamPhysical Review Letters|December 8, 2016
Minimal Positive Design for Self-Assembly of the Archimedean TilingsStephen WhitelamPhysical Review. E|November 18, 2023
How to train your demon to do fast information erasure without heat productionStephen WhitelamPageof 10