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Physical Review Letters|July 16, 2021
Neuroevolutionary Learning of Particles and Protocols for Self-AssemblyStephen Whitelam, Isaac TamblynPhysical Review. E|August 16, 2023
Cellular automata can classify data by inducing trajectory phase coexistenceStephen Whitelam, Isaac TamblynPhysical Review. E|December 25, 2019
Direct evaluation of dynamical large-deviation rate functions using a variational ansatzDaniel Jacobson, Stephen WhitelamThe Journal of Chemical Physics|October 2, 2021
Deposition control of model glasses with surface-mediated orientational orderStephen Whitelam, Peter HarrowellNature Communications|October 23, 2024
Learning protocols for the fast and efficient control of active matterCorneel Casert, Stephen WhitelamThe 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 CasertThe Journal of Chemical Physics|October 24, 2007
Avoiding unphysical kinetic traps in Monte Carlo simulations of strongly attractive particlesStephen Whitelam, Phillip L GeisslerThe Journal of Chemical Physics|November 4, 2011
Limit of validity of Ostwald's rule of stages in a statistical mechanical model of crystallizationLester O Hedges, Stephen WhitelamPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 21, 2006
Two-stage coarsening mechanism in a kinetically constrained model of an attractive colloidStephen Whitelam, Phillip L GeisslerPageof 1,371