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Gustavo Perez Lemus

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The Journal of Chemical Physics|December 23, 2024
The importance of sampling the dynamical modes: Reevaluating benchmarks for invariant and equivariant features of machine learning potentials for simulation of free energy landscapesGustavo Perez-Lemus, Yinan Xu, Yezhi Jin, et al.
Journal of Chemical Theory and Computation|April 23, 2026
Characterizing Defect Dynamics in Silicon Carbide Using Symmetry-Adapted Collective Variables and Machine Learning Interatomic PotentialsSoumajit Dutta, Cunzhi Zhang, Gustavo Perez Lemus, et al.
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Showing results (1-10 of 2) with videos related to

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Pageof 1
The Journal of Chemical Physics|December 23, 2024
The importance of sampling the dynamical modes: Reevaluating benchmarks for invariant and equivariant features of machine learning potentials for simulation of free energy landscapesGustavo Perez-Lemus, Yinan Xu, Yezhi Jin, et al.
Journal of Chemical Theory and Computation|April 23, 2026
Characterizing Defect Dynamics in Silicon Carbide Using Symmetry-Adapted Collective Variables and Machine Learning Interatomic PotentialsSoumajit Dutta, Cunzhi Zhang, Gustavo Perez Lemus, et al.
Pageof 1