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Nicholas E Charron

Showing results (1-10 of 13) with videos related to

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Quarterly Reviews of Biophysics|December 14, 2017
Understanding membrane-active antimicrobial peptidesHuey W Huang, Nicholas E Charron
Journal of Chemical Theory and Computation|November 19, 2025
Melting Transitions in Small Aluminum Clusters Simulated with Energies Approaching DFT AccuracyAnirudh Krishnadas, Nicholas E Charron, Rene Fournier
Scientific Data|April 18, 2026
Spectral Quantum Chemistry and Infrared Resonance Library for Data-Driven Molecular SpectroscopyAnirudh Krishnadas, Jatin Kansal, Nicholas E Charron, et al.
The Journal of Physical Chemistry. A|November 23, 2022
Temporally Coherent Backmapping of Molecular Trajectories From Coarse-Grained to Atomistic ResolutionKirill Shmilovich, Marc Stieffenhofer, Nicholas E Charron, et al.
The Journal of Chemical Physics|September 2, 2021
Machine learning implicit solvation for molecular dynamicsYaoyi Chen, Andreas Krämer, Nicholas E Charron, et al.
The Journal of Physical Chemistry Letters|April 20, 2023
Statistically Optimal Force Aggregation for Coarse-Graining Molecular DynamicsAndreas Krämer, Aleksander E P Durumeric, Nicholas E Charron, et al.
ACS Central Science|May 30, 2019
Machine Learning of Coarse-Grained Molecular Dynamics Force FieldsJiang Wang, Simon Olsson, Christoph Wehmeyer, et al.
Biochemistry|August 29, 2018
Comparison of the Effects of Daptomycin on Bacterial and Model MembranesMing-Tao Lee, Pei-Yin Yang, Nicholas E Charron, et al.
Biophysical Journal|May 12, 2016
Comparative Study of the Condensing Effects of Ergosterol and CholesterolWei-Chin Hung, Ming-Tao Lee, Hsien Chung, et al.
Nature Communications|September 15, 2023
Machine learning coarse-grained potentials of protein thermodynamicsMaciej Majewski, Adrià Pérez, Philipp Thölke, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Quarterly Reviews of Biophysics|December 14, 2017
Understanding membrane-active antimicrobial peptidesHuey W Huang, Nicholas E Charron
Journal of Chemical Theory and Computation|November 19, 2025
Melting Transitions in Small Aluminum Clusters Simulated with Energies Approaching DFT AccuracyAnirudh Krishnadas, Nicholas E Charron, Rene Fournier
Scientific Data|April 18, 2026
Spectral Quantum Chemistry and Infrared Resonance Library for Data-Driven Molecular SpectroscopyAnirudh Krishnadas, Jatin Kansal, Nicholas E Charron, et al.
The Journal of Physical Chemistry. A|November 23, 2022
Temporally Coherent Backmapping of Molecular Trajectories From Coarse-Grained to Atomistic ResolutionKirill Shmilovich, Marc Stieffenhofer, Nicholas E Charron, et al.
The Journal of Chemical Physics|September 2, 2021
Machine learning implicit solvation for molecular dynamicsYaoyi Chen, Andreas Krämer, Nicholas E Charron, et al.
The Journal of Physical Chemistry Letters|April 20, 2023
Statistically Optimal Force Aggregation for Coarse-Graining Molecular DynamicsAndreas Krämer, Aleksander E P Durumeric, Nicholas E Charron, et al.
ACS Central Science|May 30, 2019
Machine Learning of Coarse-Grained Molecular Dynamics Force FieldsJiang Wang, Simon Olsson, Christoph Wehmeyer, et al.
Biochemistry|August 29, 2018
Comparison of the Effects of Daptomycin on Bacterial and Model MembranesMing-Tao Lee, Pei-Yin Yang, Nicholas E Charron, et al.
Biophysical Journal|May 12, 2016
Comparative Study of the Condensing Effects of Ergosterol and CholesterolWei-Chin Hung, Ming-Tao Lee, Hsien Chung, et al.
Nature Communications|September 15, 2023
Machine learning coarse-grained potentials of protein thermodynamicsMaciej Majewski, Adrià Pérez, Philipp Thölke, et al.
Pageof 2