Cameron J. Owen

Harvard University — United States

Materials Science · Physical Sciences

17h-index1.6kcitations51works9.22yr avg
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Research Topics

Catalytic Processes in Materials Science(16), Machine Learning in Materials Science(16), Advanced Chemical Physics Studies(8), Catalysis and Oxidation Reactions(7), Protein Structure and Dynamics(6)

Publications51 total

Nanoscale wetting controls reactive Pd ensembles in synthesis of dilute PdAu alloy catalysts
Nature Communications·2025· 4 citedOpen Access
Unified differentiable learning of electric response
Nature Communications·2025· 17 citedOpen Access
Revealing the proton slingshot mechanism in solid acid electrolytes through machine learning molecular dynamics
arXiv (Cornell University)·2025· 1 citedOpen Access
Thermodynamically Informed Multimodal Learning of High-Dimensional Free Energy Models in Molecular Coarse Graining
2024· 4 citedOpen Access
Surface roughening in nanoparticle catalysts
arXiv (Cornell University)·2024· 10 citedOpen Access
Atomistic evolution of active sites in multi-component heterogeneous catalysts
arXiv (Cornell University)·2024· 6 citedOpen Access
In Situ Gas-Heating Atomic-Scale STEM Analysis of Au-Pd Nanoparticles at 1 Bar
Microscopy and Microanalysis·2024
Thermodynamically Informed Multimodal Learning of High-Dimensional Free Energy Models in Molecular Coarse Graining
arXiv (Cornell University)·2024· 3 citedOpen Access
Complexity of many-body interactions in transition metals via machine-learned force fields from the TM23 data set
npj Computational Materials·2024· 34 citedOpen Access
Low-index mesoscopic surface reconstructions of Au surfaces using Bayesian force fields
Nature Communications·2024· 26 citedOpen Access
Unified Differentiable Learning of Electric Response
arXiv (Cornell University)·2024· 4 citedOpen Access
Unbiased Atomistic Predictions of Crystal Dislocation Dynamics using Bayesian Force Fields
arXiv (Cornell University)·2024· 1 citedOpen Access
Stability, mechanisms and kinetics of emergence of Au surface reconstructions using Bayesian force fields
arXiv (Cornell University)·2023· 2 citedOpen Access
Unraveling the Catalytic Effect of Hydrogen Adsorption on Pt Nanoparticle Shape-Change
arXiv (Cornell University)·2023· 4 citedOpen Access
Complexity of Many-Body Interactions in Transition Metals via Machine-Learned Force Fields from the TM23 Data Set
arXiv (Cornell University)·2023· 2 citedOpen Access
Synthesis and Characterization of Stable Cu–Pt Nanoparticles under Reductive and Oxidative Conditions
Journal of the American Chemical Society·2023· 38 cited
Learning local equivariant representations for large-scale atomistic dynamics
Nature Communications·2023· 545 citedOpen Access
Synthesis and Characterization of Stable Cu-Pt Nanoparticles under Reductive and Oxidative Conditions
2023Open Access
Nanoalloy structures and catalysis part 1: general discussion
Faraday Discussions·2022· 2 cited
Nanoalloy magnetic and optical properties, applications and structures: general discussion
Faraday Discussions·2022· 1 cited
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Frequent Co-authors

Boris Kozinsky(25), Albert Musaelian(10), P. B. Armentrout(10), Anatoly I. Frenkel(8), Yu Xie(7), Alexandre C. Foucher(6), Nicholas Marcella(6), Eric A. Stach(6), Jin Soo Lim(6), Anders Johansson(5), Lixin Sun(5), Jason F. Weaver(5), Joanna Aizenberg(5), Hio Tong Ngan(5), Philippe Sautet(5), Jonathan Vandermause(5), Simon Batzner(4), C. R. O'Connor(4), Steven B. Torrisi(4), Georgia C. Boles(4)