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Katsuhiro Endo

Showing results (1-10 of 26) 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
The Journal of Chemical Physics|August 8, 2023
Graph neural networks classify molecular geometry and design novel order parameters of crystal and liquidSatoki Ishiai, Katsuhiro Endo, Kenji Yasuoka
Scientific Reports|April 6, 2026
Hamiltonian simulation for nonlinear partial differential equation by SchrödingerizationShoya Sasaki, Katsuhiro Endo, Mayu Muramatsu
Nanoscale|May 16, 2019
Detection of molecular behavior that characterizes systems using a deep learning approachKatsuhiro Endo, Daisuke Yuhara, Katsufumi Tomobe, 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.
Journal of Chemical Theory and Computation|January 8, 2024
Graph-Neural-Network-Based Unsupervised Learning of the Temporal Similarity of Structural Features Observed in Molecular Dynamics SimulationsSatoki Ishiai, Ikki Yasuda, Katsuhiro Endo, et al.
Plos One|June 14, 2023
Learned pseudo-random number generator: WGAN-GP for generating statistically robust random numbersKiyoshiro Okada, Katsuhiro Endo, Kenji Yasuoka, et al.
Scientific Reports|June 24, 2022
A phase-field model by an Ising machine and its application to the phase-separation structure of a diblock polymerKatsuhiro Endo, Yoshiki Matsuda, Shu Tanaka, et al.
Communications Chemistry|May 29, 2024
In-layer inhomogeneity of molecular dynamics in quasi-liquid layers of iceIkki Yasuda, Katsuhiro Endo, Noriyoshi Arai, et al.
Plos One|June 13, 2024
Novel real number representations in Ising machines and performance evaluation: Combinatorial random number sum and constant divisionKatsuhiro Endo, Yoshiki Matsuda, Shu Tanaka, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
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
The Journal of Chemical Physics|August 8, 2023
Graph neural networks classify molecular geometry and design novel order parameters of crystal and liquidSatoki Ishiai, Katsuhiro Endo, Kenji Yasuoka
Scientific Reports|April 6, 2026
Hamiltonian simulation for nonlinear partial differential equation by SchrödingerizationShoya Sasaki, Katsuhiro Endo, Mayu Muramatsu
Nanoscale|May 16, 2019
Detection of molecular behavior that characterizes systems using a deep learning approachKatsuhiro Endo, Daisuke Yuhara, Katsufumi Tomobe, 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.
Journal of Chemical Theory and Computation|January 8, 2024
Graph-Neural-Network-Based Unsupervised Learning of the Temporal Similarity of Structural Features Observed in Molecular Dynamics SimulationsSatoki Ishiai, Ikki Yasuda, Katsuhiro Endo, et al.
Plos One|June 14, 2023
Learned pseudo-random number generator: WGAN-GP for generating statistically robust random numbersKiyoshiro Okada, Katsuhiro Endo, Kenji Yasuoka, et al.
Scientific Reports|June 24, 2022
A phase-field model by an Ising machine and its application to the phase-separation structure of a diblock polymerKatsuhiro Endo, Yoshiki Matsuda, Shu Tanaka, et al.
Communications Chemistry|May 29, 2024
In-layer inhomogeneity of molecular dynamics in quasi-liquid layers of iceIkki Yasuda, Katsuhiro Endo, Noriyoshi Arai, et al.
Plos One|June 13, 2024
Novel real number representations in Ising machines and performance evaluation: Combinatorial random number sum and constant divisionKatsuhiro Endo, Yoshiki Matsuda, Shu Tanaka, et al.
Pageof 3