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Iryna Zaporozhets

Showing results (1-10 of 5) with videos related to

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The Journal of Physical Chemistry. B|July 27, 2023
Multibody Terms in Protein Coarse-Grained Models: A Top-Down PerspectiveIryna Zaporozhets, Cecilia Clementi
The Journal of Chemical Physics|October 1, 2024
Accurate nuclear quantum statistics on machine-learned classical effective potentialsIryna Zaporozhets, Félix Musil, Venkat Kapil, et al.
The Journal of Chemical Physics|November 15, 2022
Quantum dynamics using path integral coarse-grainingFélix Musil, Iryna Zaporozhets, Frank Noé, et al.
Nature Chemistry|July 18, 2025
Navigating protein landscapes with a machine-learned transferable coarse-grained modelNicholas E Charron, Klara Bonneau, Aldo S Pasos-Trejo, et al.
Science (New York, N.Y.)|July 10, 2025
Scalable emulation of protein equilibrium ensembles with generative deep learningSarah Lewis, Tim Hempel, José Jiménez-Luna, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
The Journal of Physical Chemistry. B|July 27, 2023
Multibody Terms in Protein Coarse-Grained Models: A Top-Down PerspectiveIryna Zaporozhets, Cecilia Clementi
The Journal of Chemical Physics|October 1, 2024
Accurate nuclear quantum statistics on machine-learned classical effective potentialsIryna Zaporozhets, Félix Musil, Venkat Kapil, et al.
The Journal of Chemical Physics|November 15, 2022
Quantum dynamics using path integral coarse-grainingFélix Musil, Iryna Zaporozhets, Frank Noé, et al.
Nature Chemistry|July 18, 2025
Navigating protein landscapes with a machine-learned transferable coarse-grained modelNicholas E Charron, Klara Bonneau, Aldo S Pasos-Trejo, et al.
Science (New York, N.Y.)|July 10, 2025
Scalable emulation of protein equilibrium ensembles with generative deep learningSarah Lewis, Tim Hempel, José Jiménez-Luna, et al.
Pageof 1