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Brennon L Shanks

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

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The Journal of Physical Chemistry Letters|December 16, 2024
Bayesian Analysis Reveals the Key to Extracting Pair Potentials from Neutron Scattering DataBrennon L Shanks, Harry W Sullivan, Michael P Hoepfner
The Journal of Physical Chemistry Letters|December 5, 2022
Transferable Force Fields from Experimental Scattering Data with Machine Learning Assisted Structure RefinementBrennon L Shanks, Jeffrey J Potoff, Michael P Hoepfner
Journal of Chemical Theory and Computation|February 19, 2026
Bayesian Learning for Accurate and Robust Biomolecular Force FieldsVojtech Kostal, Brennon L Shanks, Pavel Jungwirth, et al.
The Journal of Physical Chemistry. B|June 27, 2025
Cation-π Interactions in Biomolecular Contexts by Neutron Scattering and Molecular Dynamics: A Case Study of the Tetramethylammonium CationMatej Cervenka, Brennon L Shanks, Philip E Mason, et al.
The Journal of Physical Chemistry. B|October 31, 2025
Physics-Informed Gaussian Process Inference of Liquid Structure from Scattering DataHarry Winston Sullivan, Matej Cervenka, Brennon L Shanks, et al.
Journal of Chemical Theory and Computation|March 29, 2024
Accelerated Bayesian Inference for Molecular Simulations using Local Gaussian Process Surrogate ModelsBrennon L Shanks, Harry W Sullivan, Abdur R Shazed, et al.
Journal of Chemical Theory and Computation|September 4, 2025
Charge Scaling Force Field for Biologically Relevant Ions Utilizing a Global Optimization MethodShujie Fan, Philip E Mason, Victor Cruces Chamorro, et al.
Pageof 1

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

Sort By:
Pageof 1
The Journal of Physical Chemistry Letters|December 16, 2024
Bayesian Analysis Reveals the Key to Extracting Pair Potentials from Neutron Scattering DataBrennon L Shanks, Harry W Sullivan, Michael P Hoepfner
The Journal of Physical Chemistry Letters|December 5, 2022
Transferable Force Fields from Experimental Scattering Data with Machine Learning Assisted Structure RefinementBrennon L Shanks, Jeffrey J Potoff, Michael P Hoepfner
Journal of Chemical Theory and Computation|February 19, 2026
Bayesian Learning for Accurate and Robust Biomolecular Force FieldsVojtech Kostal, Brennon L Shanks, Pavel Jungwirth, et al.
The Journal of Physical Chemistry. B|June 27, 2025
Cation-π Interactions in Biomolecular Contexts by Neutron Scattering and Molecular Dynamics: A Case Study of the Tetramethylammonium CationMatej Cervenka, Brennon L Shanks, Philip E Mason, et al.
The Journal of Physical Chemistry. B|October 31, 2025
Physics-Informed Gaussian Process Inference of Liquid Structure from Scattering DataHarry Winston Sullivan, Matej Cervenka, Brennon L Shanks, et al.
Journal of Chemical Theory and Computation|March 29, 2024
Accelerated Bayesian Inference for Molecular Simulations using Local Gaussian Process Surrogate ModelsBrennon L Shanks, Harry W Sullivan, Abdur R Shazed, et al.
Journal of Chemical Theory and Computation|September 4, 2025
Charge Scaling Force Field for Biologically Relevant Ions Utilizing a Global Optimization MethodShujie Fan, Philip E Mason, Victor Cruces Chamorro, et al.
Pageof 1