Showing results (51-60 of 64) with videos related to

Sort By:
Pageof 7
Journal of Molecular Graphics & Modelling|March 5, 2021
Machine learning transition temperatures from 2D structureAndrew E Sifain, Betsy M Rice, Samuel H Yalkowsky, et al.
The Journal of Chemical Physics|May 3, 2014
Two-component order parameter for quantifying clathrate hydrate nucleation and growthBrian C Barnes, Gregg T Beckham, David T Wu, et al.
The Journal of Physical Chemistry. A|August 26, 2024
Predicting Hydrocarbon Strain Energy via a Group Equivalent Machine Learning ApproachJesse C Hearn, Betsy M Rice, Brian C Barnes, et al.
The Journal of Physical Chemistry. B|October 28, 2014
Reaction coordinate of incipient methane clathrate hydrate nucleationBrian C Barnes, Brandon C Knott, Gregg T Beckham, et al.
Molecular Informatics|April 28, 2021
Locally Optimizable Joint Embedding Framework to Design Nitrogen-rich Molecules that are Similar but ImprovedSangeeth Balakrishnan, Francis G VanGessel, Zois Boukouvalas, et al.
The Journal of Physical Chemistry. A|January 31, 2024
Interpretable Performance Models for Energetic Materials using Parsimonious Neural NetworksRobert J Appleton, Peter Salek, Alex D Casey, et al.
Journal of the American Chemical Society|April 10, 2012
Time-dependent CO2 sorption hysteresis in a one-dimensional microporous octahedral molecular sieveLaura Espinal, Winnie Wong-Ng, James A Kaduk, et al.
The Journal of Chemical Physics|March 17, 2016
A coarse-grain force field for RDX: Density dependent and energy conservingJoshua D Moore, Brian C Barnes, Sergei Izvekov, et al.
Molecular Simulation|October 4, 2019
The role of molecular modelling and simulation in the discovery and deployment of metal-organic frameworks for gas storage and separationArni Sturluson, Melanie T Huynh, Alec R Kaija, et al.
Faraday Discussions|April 17, 2015
Nucleation rate analysis of methane hydrate from molecular dynamics simulationsDaisuke Yuhara, Brian C Barnes, Donguk Suh, et al.
Pageof 7