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Yutack Park

Showing results (1-10 of 4) with videos related to

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Journal of Chemical Theory and Computation|May 30, 2024
Scalable Parallel Algorithm for Graph Neural Network Interatomic Potentials in Molecular Dynamics SimulationsYutack Park, Jaesun Kim, Seungwoo Hwang, et al.
ACS Applied Materials & Interfaces|October 1, 2025
Unveiling Defect Motifs in Amorphous GeSe Using Machine Learning Interatomic PotentialsMinseok Moon, Seungwoo Hwang, Jaesun Kim, et al.
Journal of the American Chemical Society|December 17, 2024
Data-Efficient Multifidelity Training for High-Fidelity Machine Learning Interatomic PotentialsJaesun Kim, Jisu Kim, Jaehoon Kim, et al.
Nature Communications|March 3, 2026
Optimizing cross-domain transfer for universal machine learning interatomic potentialsJaesun Kim, Jinmu You, Yutack Park, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Journal of Chemical Theory and Computation|May 30, 2024
Scalable Parallel Algorithm for Graph Neural Network Interatomic Potentials in Molecular Dynamics SimulationsYutack Park, Jaesun Kim, Seungwoo Hwang, et al.
ACS Applied Materials & Interfaces|October 1, 2025
Unveiling Defect Motifs in Amorphous GeSe Using Machine Learning Interatomic PotentialsMinseok Moon, Seungwoo Hwang, Jaesun Kim, et al.
Journal of the American Chemical Society|December 17, 2024
Data-Efficient Multifidelity Training for High-Fidelity Machine Learning Interatomic PotentialsJaesun Kim, Jisu Kim, Jaehoon Kim, et al.
Nature Communications|March 3, 2026
Optimizing cross-domain transfer for universal machine learning interatomic potentialsJaesun Kim, Jinmu You, Yutack Park, et al.
Pageof 1