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Co D Quach

Showing results (1-10 of 7) with videos related to

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The Journal of Physical Chemistry. B|January 17, 2024
E(<i>n</i>) Equivariant Graph Neural Network for Learning Interactional Properties of MoleculesKieran Nehil-Puleo, Co D Quach, Nicholas C Craven, et al.
Nature Communications|August 2, 2025
Voltage sensor conformations induced by LQTS-associated mutations in hERG potassium channelsAaron N Chan, Co D Quach, Lucas J Handlin, et al.
The Journal of Chemical Physics|April 23, 2022
High-throughput screening of tribological properties of monolayer films using molecular dynamics and machine learningCo D Quach, Justin B Gilmer, Daniel Pert, et al.
The Journal of Physical Chemistry. B|November 13, 2025
New Coarse-Grained Models for Stratum Corneum Ceramides Reveal Headgroup-Dependent Structural OrganizationChloe O Frame, Parashara Shamaprasad, Shubham Deshpande, et al.
Journal of Chemical Information and Modeling|February 15, 2023
MoSDeF-GOMC: Python Software for the Creation of Scientific Workflows for the Monte Carlo Simulation Engine GOMCBrad Crawford, Umesh Timalsina, Co D Quach, et al.
Molecular Physics|October 26, 2020
Towards Molecular Simulations that are Transparent, Reproducible, Usable By Others, and Extensible (TRUE)Matthew W Thompson, Justin B Gilmer, Ray A Matsumoto, et al.
Journal of Chemical and Engineering Data|June 18, 2025
Achieving Reproducibility and Replicability of Molecular Dynamics and Monte Carlo Simulations Using the Molecular Simulation Design Framework (MoSDeF)Nicholas C Craven, Ramanish Singh, Co D Quach, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
The Journal of Physical Chemistry. B|January 17, 2024
E(<i>n</i>) Equivariant Graph Neural Network for Learning Interactional Properties of MoleculesKieran Nehil-Puleo, Co D Quach, Nicholas C Craven, et al.
Nature Communications|August 2, 2025
Voltage sensor conformations induced by LQTS-associated mutations in hERG potassium channelsAaron N Chan, Co D Quach, Lucas J Handlin, et al.
The Journal of Chemical Physics|April 23, 2022
High-throughput screening of tribological properties of monolayer films using molecular dynamics and machine learningCo D Quach, Justin B Gilmer, Daniel Pert, et al.
The Journal of Physical Chemistry. B|November 13, 2025
New Coarse-Grained Models for Stratum Corneum Ceramides Reveal Headgroup-Dependent Structural OrganizationChloe O Frame, Parashara Shamaprasad, Shubham Deshpande, et al.
Journal of Chemical Information and Modeling|February 15, 2023
MoSDeF-GOMC: Python Software for the Creation of Scientific Workflows for the Monte Carlo Simulation Engine GOMCBrad Crawford, Umesh Timalsina, Co D Quach, et al.
Molecular Physics|October 26, 2020
Towards Molecular Simulations that are Transparent, Reproducible, Usable By Others, and Extensible (TRUE)Matthew W Thompson, Justin B Gilmer, Ray A Matsumoto, et al.
Journal of Chemical and Engineering Data|June 18, 2025
Achieving Reproducibility and Replicability of Molecular Dynamics and Monte Carlo Simulations Using the Molecular Simulation Design Framework (MoSDeF)Nicholas C Craven, Ramanish Singh, Co D Quach, et al.
Pageof 1