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The Journal of Chemical Physics
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August 2, 2023
q-pac: A Python package for machine learned charge equilibration models
Martin Vondrák, Karsten Reuter, Johannes T Margraf
Journal of Chemical Theory and Computation
|
June 20, 2026
Integrating Charge Equilibration with Equivariant Machine-Learning Interatomic Potentials
Martin Vondrák, William J Baldwin, Gábor Csányi, et al.
Journal of Chemical Theory and Computation
|
December 12, 2024
Efficient Composite Infrared Spectroscopy: Combining the Double-Harmonic Approximation with Machine Learning Potentials
Philipp Pracht, Yuthika Pillai, Venkat Kapil, et al.
The Journal of Chemical Physics
|
November 13, 2025
A foundation model for atomistic materials chemistry
Ilyes Batatia, Philipp Benner, Yuan Chiang, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 4) with videos related to
Sort By:
Page
of 1
The Journal of Chemical Physics
|
August 2, 2023
q-pac: A Python package for machine learned charge equilibration models
Martin Vondrák, Karsten Reuter, Johannes T Margraf
Journal of Chemical Theory and Computation
|
June 20, 2026
Integrating Charge Equilibration with Equivariant Machine-Learning Interatomic Potentials
Martin Vondrák, William J Baldwin, Gábor Csányi, et al.
Journal of Chemical Theory and Computation
|
December 12, 2024
Efficient Composite Infrared Spectroscopy: Combining the Double-Harmonic Approximation with Machine Learning Potentials
Philipp Pracht, Yuthika Pillai, Venkat Kapil, et al.
The Journal of Chemical Physics
|
November 13, 2025
A foundation model for atomistic materials chemistry
Ilyes Batatia, Philipp Benner, Yuan Chiang, et al.
Page
of 1