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Corentin Villot

Showing results (1-10 of 6) with videos related to

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The Journal of Chemical Physics|March 8, 2023
Electronic structure theory on modeling short-range noncovalent interactions between amino acidsCorentin Villot, Ka Un Lao
The Journal of Chemical Physics|May 8, 2024
Ab initio dispersion potentials based on physics-based functional forms with machine learningCorentin Villot, Ka Un Lao
The Journal of Chemical Physics|May 9, 2024
Improving second-order Møller-Plesset perturbation theory for noncovalent interactions with the machine learning-corrected ab initio dispersion potentialKa Un Lao, Corentin Villot
The Journal of Chemical Physics|July 24, 2023
Accurate prediction of global-density-dependent range-separation parameters based on machine learningCorentin Villot, Tong Huang, Ka Un Lao
The Journal of Physical Chemistry. A|June 29, 2022
Coupled Cluster Benchmarking of Large Noncovalent Complexes in L7 and S12L as Well as the C<sub>60</sub> Dimer, DNA-Ellipticine, and HIV-IndinavirCorentin Villot, Francisco Ballesteros, Danyang Wang, et al.
Nanoscale|December 17, 2024
Solid-state synthesis of Si<sub>1-</sub>Ge<sub></sub> nanoalloys with composition-tunable energy gaps and visible to near infrared optical propertiesGriffin C Spence, David S Pate, Corentin Villot, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
The Journal of Chemical Physics|March 8, 2023
Electronic structure theory on modeling short-range noncovalent interactions between amino acidsCorentin Villot, Ka Un Lao
The Journal of Chemical Physics|May 8, 2024
Ab initio dispersion potentials based on physics-based functional forms with machine learningCorentin Villot, Ka Un Lao
The Journal of Chemical Physics|May 9, 2024
Improving second-order Møller-Plesset perturbation theory for noncovalent interactions with the machine learning-corrected ab initio dispersion potentialKa Un Lao, Corentin Villot
The Journal of Chemical Physics|July 24, 2023
Accurate prediction of global-density-dependent range-separation parameters based on machine learningCorentin Villot, Tong Huang, Ka Un Lao
The Journal of Physical Chemistry. A|June 29, 2022
Coupled Cluster Benchmarking of Large Noncovalent Complexes in L7 and S12L as Well as the C<sub>60</sub> Dimer, DNA-Ellipticine, and HIV-IndinavirCorentin Villot, Francisco Ballesteros, Danyang Wang, et al.
Nanoscale|December 17, 2024
Solid-state synthesis of Si<sub>1-</sub>Ge<sub></sub> nanoalloys with composition-tunable energy gaps and visible to near infrared optical propertiesGriffin C Spence, David S Pate, Corentin Villot, et al.
Pageof 1