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Daisuke Yuhara

Showing results (1-10 of 8) with videos related to

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Journal of Chemical Theory and Computation|February 17, 2022
Efficient Monte Carlo Sampling for Molecular Systems Using Continuous Normalizing FlowKatsuhiro Endo, Daisuke Yuhara, Kenji Yasuoka
Chemical Communications (Cambridge, England)|August 8, 2019
Anisotropy of dodecahedral water cages for guest gas occupancy in semiclathrate hydratesDaisuke Yuhara, Kenji Yasuoka, Satoshi Takeya, et al.
Nanoscale|May 16, 2019
Detection of molecular behavior that characterizes systems using a deep learning approachKatsuhiro Endo, Daisuke Yuhara, Katsufumi Tomobe, et al.
Plos One|April 22, 2020
Dataflow programming for the analysis of molecular dynamics with AViS, an analysis and visualization software applicationKai Pua, Daisuke Yuhara, Sho Ayuba, et al.
Soft Matter|October 31, 2022
MD-GAN with multi-particle input: the machine learning of long-time molecular behavior from short-time MD dataRyo Kawada, Katsuhiro Endo, Daisuke Yuhara, et al.
The Journal of Chemical Physics|May 17, 2018
Analysis of three-phase equilibrium conditions for methane hydrate by isometric-isothermal molecular dynamics simulationsDaisuke Yuhara, Paul E Brumby, David T Wu, et al.
The Journal of Chemical Physics|April 8, 2019
Cage occupancies, lattice constants, and guest chemical potentials for structure II hydrogen clathrate hydrate from Gibbs ensemble Monte Carlo simulationsPaul E Brumby, Daisuke Yuhara, Tomohiro Hasegawa, 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 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Chemical Theory and Computation|February 17, 2022
Efficient Monte Carlo Sampling for Molecular Systems Using Continuous Normalizing FlowKatsuhiro Endo, Daisuke Yuhara, Kenji Yasuoka
Chemical Communications (Cambridge, England)|August 8, 2019
Anisotropy of dodecahedral water cages for guest gas occupancy in semiclathrate hydratesDaisuke Yuhara, Kenji Yasuoka, Satoshi Takeya, et al.
Nanoscale|May 16, 2019
Detection of molecular behavior that characterizes systems using a deep learning approachKatsuhiro Endo, Daisuke Yuhara, Katsufumi Tomobe, et al.
Plos One|April 22, 2020
Dataflow programming for the analysis of molecular dynamics with AViS, an analysis and visualization software applicationKai Pua, Daisuke Yuhara, Sho Ayuba, et al.
Soft Matter|October 31, 2022
MD-GAN with multi-particle input: the machine learning of long-time molecular behavior from short-time MD dataRyo Kawada, Katsuhiro Endo, Daisuke Yuhara, et al.
The Journal of Chemical Physics|May 17, 2018
Analysis of three-phase equilibrium conditions for methane hydrate by isometric-isothermal molecular dynamics simulationsDaisuke Yuhara, Paul E Brumby, David T Wu, et al.
The Journal of Chemical Physics|April 8, 2019
Cage occupancies, lattice constants, and guest chemical potentials for structure II hydrogen clathrate hydrate from Gibbs ensemble Monte Carlo simulationsPaul E Brumby, Daisuke Yuhara, Tomohiro Hasegawa, 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 1