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Physical Review. E|October 18, 2023
Comment on "Exact large deviation statistics and trajectory phase transition of a deterministic boundary driven cellular automaton"Stephen WhitelamAdvanced Materials (Deerfield Beach, Fla.)|April 16, 2015
Examples of Molecular Self-Assembly at SurfacesStephen WhitelamPhysical Review. E|May 20, 2018
Sampling rare fluctuations of discrete-time Markov chainsStephen WhitelamEntropy (Basel, Switzerland)|February 3, 2021
Improving the Accuracy of Nearest-Neighbor Classification Using Principled Construction and Stochastic Sampling of Training-Set CentroidsStephen WhitelamProceedings of the National Academy of Sciences of the United States of America|April 3, 2026
Training thermodynamic computers by gradient descentStephen WhitelamSoft Matter|September 10, 2015
Hierarchical assembly may be a way to make large information-rich structuresStephen WhitelamPhysical Review. E|June 25, 2020
Learning to grow: Control of material self-assembly using evolutionary reinforcement learningStephen Whitelam, Isaac TamblynPhysical Review. E|April 17, 2021
Varied phenomenology of models displaying dynamical large-deviation singularitiesStephen Whitelam, Daniel JacobsonPhysical 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 TamblynPageof 18