Stephen Whitelam

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Molecular Dynamics

Staphylococcus Aureus

Top Venues

Nature communications

Chemical science

The Journal of chemical physics

Entropy (Basel, Switzerland)

This page only lists publications with an associated author ORCID identifier.

Publications

Corneel Casert, Isaac Tamblyn, Stephen Whitelam
Learning stochastic dynamics and predicting emergent behavior using transformers. Nature communications 15 (1) (2024)
Tamara Rinkovec, Demian Kalebic, Wim Dehaen, Stephen Whitelam, Jeremy N Harvey, Steven De Feyter
On the origin of cooperativity effects in the formation of self-assembled molecular networks at the liquid/solid interface. Chemical science 15 (16) (2024)
Corneel Casert, Isaac Tamblyn, Stephen Whitelam
Learning stochastic dynamics and predicting emergent behavior using transformers. Nature communications 15 (1) (2024)
Corneel Casert, Isaac Tamblyn, Stephen Whitelam
Learning stochastic dynamics and predicting emergent behavior using transformers. Nature communications 15 (1) (2024)
Tamara Rinkovec, Demian Kalebic, Wim Dehaen, Stephen Whitelam, Jeremy N Harvey, Steven De Feyter
On the origin of cooperativity effects in the formation of self-assembled molecular networks at the liquid/solid interface. Chemical science 15 (16) (2024)
John R Edison, Rebecca L Siegelman, Zdeněk Preisler, Joyjit Kundu, Jeffrey R Long, Stephen Whitelam
Hysteresis curves reveal the microscopic origin of cooperative CO2 adsorption in diamine-appended metal-organic frameworks. The Journal of chemical physics 154 (21) (2021)
Stephen Whitelam, Viktor Selin, Sang-Won Park, Isaac Tamblyn
Correspondence between neuroevolution and gradient descent. Nature communications 12 (1) (2021)
Stephen Whitelam
Improving the Accuracy of Nearest-Neighbor Classification Using Principled Construction and Stochastic Sampling of Training-Set Centroids. Entropy (Basel, Switzerland) 23 (2) (2021)
Stephen Whitelam, Daniel Jacobson, Isaac Tamblyn
Evolutionary reinforcement learning of dynamical large deviations. The Journal of chemical physics 153 (4) (2020)