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Journal of Computational Chemistry
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April 12, 2019
Development of a new parameter optimization scheme for a reactive force field based on a machine learning approach
Hiroya Nakata, Shandan Bai
Journal of Chemical Theory and Computation
|
February 8, 2023
Analytic Gradient for Time-Dependent Density Functional Theory Combined with the Fragment Molecular Orbital Method
Hiroya Nakata, Dmitri G Fedorov
Journal of Computational Chemistry
|
October 10, 2018
Analytic second derivatives for the efficient electrostatic embedding in the fragment molecular orbital method
Hiroya Nakata, Dmitri G Fedorov
Journal of Chemical Theory and Computation
|
January 12, 2026
Autonomous Reaction Discovery of CO<sub>2</sub> Capture in Aqueous Ammonia through Active-Learning Neural Networks
Hiroya Nakata, Cheol Ho Choi
Physical Chemistry Chemical Physics : PCCP
|
March 18, 2020
Low-dimensional projection approach for efficient sampling of molecular recognition and polymer aggregation
Hiroya Nakata, Cheol Ho Choi
Physical Chemistry Chemical Physics : PCCP
|
June 13, 2019
Simulations of infrared and Raman spectra in solution using the fragment molecular orbital method
Hiroya Nakata, Dmitri G Fedorov
The Journal of Physical Chemistry. A
|
December 16, 2016
Efficient Geometry Optimization of Large Molecular Systems in Solution Using the Fragment Molecular Orbital Method
Hiroya Nakata, Dmitri G Fedorov
Methods in Molecular Biology (Clifton, N.J.)
|
February 5, 2020
Geometry Optimization, Transition State Search, and Reaction Path Mapping Accomplished with the Fragment Molecular Orbital Method
Hiroya Nakata, Dmitri G Fedorov
The Journal of Chemical Physics
|
August 1, 2016
Analytic second derivative of the energy for density-functional tight-binding combined with the fragment molecular orbital method
Hiroya Nakata, Yoshio Nishimoto, Dmitri G Fedorov
ACS Applied Materials & Interfaces
|
May 24, 2022
Accelerated Deep Learning Dynamics for Atomic Layer Deposition of Al(Me)<sub>3</sub> and Water on OH/Si(111)
Hiroya Nakata, Michael Filatov Gulak, Cheol Ho Choi
Page
of 4
Search research articles
Search
Showing results (1-10 of 39) with videos related to
Sort By:
Page
of 4
Journal of Computational Chemistry
|
April 12, 2019
Development of a new parameter optimization scheme for a reactive force field based on a machine learning approach
Hiroya Nakata, Shandan Bai
Journal of Chemical Theory and Computation
|
February 8, 2023
Analytic Gradient for Time-Dependent Density Functional Theory Combined with the Fragment Molecular Orbital Method
Hiroya Nakata, Dmitri G Fedorov
Journal of Computational Chemistry
|
October 10, 2018
Analytic second derivatives for the efficient electrostatic embedding in the fragment molecular orbital method
Hiroya Nakata, Dmitri G Fedorov
Journal of Chemical Theory and Computation
|
January 12, 2026
Autonomous Reaction Discovery of CO<sub>2</sub> Capture in Aqueous Ammonia through Active-Learning Neural Networks
Hiroya Nakata, Cheol Ho Choi
Physical Chemistry Chemical Physics : PCCP
|
March 18, 2020
Low-dimensional projection approach for efficient sampling of molecular recognition and polymer aggregation
Hiroya Nakata, Cheol Ho Choi
Physical Chemistry Chemical Physics : PCCP
|
June 13, 2019
Simulations of infrared and Raman spectra in solution using the fragment molecular orbital method
Hiroya Nakata, Dmitri G Fedorov
The Journal of Physical Chemistry. A
|
December 16, 2016
Efficient Geometry Optimization of Large Molecular Systems in Solution Using the Fragment Molecular Orbital Method
Hiroya Nakata, Dmitri G Fedorov
Methods in Molecular Biology (Clifton, N.J.)
|
February 5, 2020
Geometry Optimization, Transition State Search, and Reaction Path Mapping Accomplished with the Fragment Molecular Orbital Method
Hiroya Nakata, Dmitri G Fedorov
The Journal of Chemical Physics
|
August 1, 2016
Analytic second derivative of the energy for density-functional tight-binding combined with the fragment molecular orbital method
Hiroya Nakata, Yoshio Nishimoto, Dmitri G Fedorov
ACS Applied Materials & Interfaces
|
May 24, 2022
Accelerated Deep Learning Dynamics for Atomic Layer Deposition of Al(Me)<sub>3</sub> and Water on OH/Si(111)
Hiroya Nakata, Michael Filatov Gulak, Cheol Ho Choi
Page
of 4