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Rodrigo Wang

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

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The Journal of Chemical Physics|November 24, 2019
Construction of self-interaction-corrected exchange-correlation functionals within the correlation factor approachRodrigo Wang, Yongxi Zhou, Matthias Ernzerhof
The Journal of Chemical Physics|March 3, 2019
The correlation factor model for the exchange-correlation energy and its application to transition metal compoundsRodrigo Wang, Yongxi Zhou, Matthias Ernzerhof
The Journal of Chemical Physics|November 8, 2022
The fourth-order expansion of the exchange hole and neural networks to construct exchange-correlation functionalsEtienne Cuierrier, Pierre-Olivier Roy, Rodrigo Wang, et al.
Journal of Chemical Theory and Computation|December 7, 2023
Accelerated Organic Crystal Structure Prediction with Genetic Algorithms and Machine LearningAmit Kadan, Kevin Ryczko, Andrew Wildman, et al.
Chemical Science|October 2, 2025
Breaking down per- and polyfluoroalkyl substances (PFAS): tackling multitudes of correlated electronsAlan E Rask, Lee Huntington, SungYeon Kim, et al.
Pageof 1

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

Sort By:
Pageof 1
The Journal of Chemical Physics|November 24, 2019
Construction of self-interaction-corrected exchange-correlation functionals within the correlation factor approachRodrigo Wang, Yongxi Zhou, Matthias Ernzerhof
The Journal of Chemical Physics|March 3, 2019
The correlation factor model for the exchange-correlation energy and its application to transition metal compoundsRodrigo Wang, Yongxi Zhou, Matthias Ernzerhof
The Journal of Chemical Physics|November 8, 2022
The fourth-order expansion of the exchange hole and neural networks to construct exchange-correlation functionalsEtienne Cuierrier, Pierre-Olivier Roy, Rodrigo Wang, et al.
Journal of Chemical Theory and Computation|December 7, 2023
Accelerated Organic Crystal Structure Prediction with Genetic Algorithms and Machine LearningAmit Kadan, Kevin Ryczko, Andrew Wildman, et al.
Chemical Science|October 2, 2025
Breaking down per- and polyfluoroalkyl substances (PFAS): tackling multitudes of correlated electronsAlan E Rask, Lee Huntington, SungYeon Kim, et al.
Pageof 1