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Physical Review. E
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February 7, 2025
Neural units with time-dependent functionality
Stephen Whitelam
Physical Review. E
|
October 18, 2023
Comment on "Exact large deviation statistics and trajectory phase transition of a deterministic boundary driven cellular automaton"
Stephen Whitelam
Advanced Materials (Deerfield Beach, Fla.)
|
April 16, 2015
Examples of Molecular Self-Assembly at Surfaces
Stephen Whitelam
Physical Review. E
|
May 20, 2018
Sampling rare fluctuations of discrete-time Markov chains
Stephen Whitelam
Entropy (Basel, Switzerland)
|
February 3, 2021
Improving the Accuracy of Nearest-Neighbor Classification Using Principled Construction and Stochastic Sampling of Training-Set Centroids
Stephen Whitelam
Proceedings of the National Academy of Sciences of the United States of America
|
April 3, 2026
Training thermodynamic computers by gradient descent
Stephen Whitelam
Soft Matter
|
September 10, 2015
Hierarchical assembly may be a way to make large information-rich structures
Stephen Whitelam
Physical Review. E
|
June 25, 2020
Learning to grow: Control of material self-assembly using evolutionary reinforcement learning
Stephen Whitelam, Isaac Tamblyn
Physical Review. E
|
April 17, 2021
Varied phenomenology of models displaying dynamical large-deviation singularities
Stephen Whitelam, Daniel Jacobson
Physical Review Letters
|
July 16, 2021
Neuroevolutionary Learning of Particles and Protocols for Self-Assembly
Stephen Whitelam, Isaac Tamblyn
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Search research articles
Search
Showing results (11-20 of 95) with videos related to
Sort By:
Page
of 10
Physical Review. E
|
February 7, 2025
Neural units with time-dependent functionality
Stephen Whitelam
Physical Review. E
|
October 18, 2023
Comment on "Exact large deviation statistics and trajectory phase transition of a deterministic boundary driven cellular automaton"
Stephen Whitelam
Advanced Materials (Deerfield Beach, Fla.)
|
April 16, 2015
Examples of Molecular Self-Assembly at Surfaces
Stephen Whitelam
Physical Review. E
|
May 20, 2018
Sampling rare fluctuations of discrete-time Markov chains
Stephen Whitelam
Entropy (Basel, Switzerland)
|
February 3, 2021
Improving the Accuracy of Nearest-Neighbor Classification Using Principled Construction and Stochastic Sampling of Training-Set Centroids
Stephen Whitelam
Proceedings of the National Academy of Sciences of the United States of America
|
April 3, 2026
Training thermodynamic computers by gradient descent
Stephen Whitelam
Soft Matter
|
September 10, 2015
Hierarchical assembly may be a way to make large information-rich structures
Stephen Whitelam
Physical Review. E
|
June 25, 2020
Learning to grow: Control of material self-assembly using evolutionary reinforcement learning
Stephen Whitelam, Isaac Tamblyn
Physical Review. E
|
April 17, 2021
Varied phenomenology of models displaying dynamical large-deviation singularities
Stephen Whitelam, Daniel Jacobson
Physical Review Letters
|
July 16, 2021
Neuroevolutionary Learning of Particles and Protocols for Self-Assembly
Stephen Whitelam, Isaac Tamblyn
Page
of 10