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Hiroki Sugisawa

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

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Physical Chemistry Chemical Physics : PCCP|January 23, 2026
Machine learning-based XANES analysis for predicting the local structure and valence in amorphous silicon suboxidesYu Fujikata, Hiroki Sugisawa, Teruyasu Mizoguchi
The Journal of Chemical Physics|September 23, 2020
Gaussian process model of 51-dimensional potential energy surface for protonated imidazole dimerHiroki Sugisawa, Tomonori Ida, R V Krems
Organic Letters|June 12, 2023
One-Flow Syntheses of Unsymmetrical Sulfamides and <i>N</i>-Substituted Sulfamate EstersNaoto Sugisawa, Kohei Nakabayashi, Hiroki Sugisawa, et al.
Journal of Chemical Information and Modeling|February 20, 2025
High-Throughput Optimization of a High-Pressure Catalytic ReactionYusuke Tanabe, Hiroki Sugisawa, Tomohisa Miyazawa, et al.
Journal of Computational Chemistry|September 3, 2024
A machine learning potential construction based on radial distribution function samplingNatsuki Watanabe, Yuta Hori, Hiroki Sugisawa, et al.
Chemistry (Weinheim an Der Bergstrasse, Germany)|April 28, 2022
Sequential Nucleophilic Substitution of Phosphorus Trichloride with Alcohols in a Continuous-Flow Reactor and Consideration of a Mechanism for Reduced Over-reaction through the Addition of ImidazoleHiroshi Kitamura, Yuma Otake, Naoto Sugisawa, et al.
Science and Technology of Advanced Materials|August 19, 2024
Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysisRyo Tamura, Kenji Nagata, Keitaro Sodeyama, et al.
Pageof 1

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

Sort By:
Pageof 1
Physical Chemistry Chemical Physics : PCCP|January 23, 2026
Machine learning-based XANES analysis for predicting the local structure and valence in amorphous silicon suboxidesYu Fujikata, Hiroki Sugisawa, Teruyasu Mizoguchi
The Journal of Chemical Physics|September 23, 2020
Gaussian process model of 51-dimensional potential energy surface for protonated imidazole dimerHiroki Sugisawa, Tomonori Ida, R V Krems
Organic Letters|June 12, 2023
One-Flow Syntheses of Unsymmetrical Sulfamides and <i>N</i>-Substituted Sulfamate EstersNaoto Sugisawa, Kohei Nakabayashi, Hiroki Sugisawa, et al.
Journal of Chemical Information and Modeling|February 20, 2025
High-Throughput Optimization of a High-Pressure Catalytic ReactionYusuke Tanabe, Hiroki Sugisawa, Tomohisa Miyazawa, et al.
Journal of Computational Chemistry|September 3, 2024
A machine learning potential construction based on radial distribution function samplingNatsuki Watanabe, Yuta Hori, Hiroki Sugisawa, et al.
Chemistry (Weinheim an Der Bergstrasse, Germany)|April 28, 2022
Sequential Nucleophilic Substitution of Phosphorus Trichloride with Alcohols in a Continuous-Flow Reactor and Consideration of a Mechanism for Reduced Over-reaction through the Addition of ImidazoleHiroshi Kitamura, Yuma Otake, Naoto Sugisawa, et al.
Science and Technology of Advanced Materials|August 19, 2024
Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysisRyo Tamura, Kenji Nagata, Keitaro Sodeyama, et al.
Pageof 1