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Junji Seino

Showing results (11-20 of 23) with videos related to

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The Journal of Chemical Physics|May 6, 2010
Expectation values in two-component relativistic theoriesJunji Seino, Wataru Uesugi, Masahiko Hada
The Journal of Physical Chemistry. A|August 20, 2019
Bond Energy Density Analysis Combined with Informatics TechniqueHiromi Nakai, Junji Seino, Kairi Nakamura
The Journal of Chemical Physics|March 24, 2018
Gauge-origin independent formalism of two-component relativistic framework based on unitary transformation in nuclear magnetic shielding constantMasao Hayami, Junji Seino, Hiromi Nakai
Journal of Computational Chemistry|March 3, 2015
An ab initio study of nuclear volume effects for isotope fractionations using two-component relativistic methodsKeisuke Nemoto, Minori Abe, Junji Seino, et al.
The Journal of Physical Chemistry. A|August 18, 2006
SAC and SAC-CI calculations of excitation and circular dichroism spectra of straight-chain and cyclic dichalcogensJunji Seino, Yasushi Honda, Masahiko Hada, et al.
The Journal of Chemical Physics|November 14, 2020
Machine-learned electron correlation model based on frozen core approximationYasuhiro Ikabata, Ryo Fujisawa, Junji Seino, et al.
The Journal of Chemical Physics|July 2, 2018
Semi-local machine-learned kinetic energy density functional with third-order gradients of electron densityJunji Seino, Ryo Kageyama, Mikito Fujinami, et al.
Journal of Computational Chemistry|August 11, 2017
Computerized implementation of higher-order electron-correlation methods and their linear-scaling divide-and-conquer extensionsMasahiko Nakano, Takeshi Yoshikawa, So Hirata, et al.
The Journal of Chemical Physics|May 3, 2019
Extension and acceleration of relativistic density functional theory based on transformed density operatorYasuhiro Ikabata, Takuro Oyama, Masao Hayami, et al.
The Journal of Chemical Physics|July 15, 2019
Machine-learned electron correlation model based on correlation energy density at complete basis set limitTakuro Nudejima, Yasuhiro Ikabata, Junji Seino, et al.
Pageof 3

Showing results (11-20 of 23) with videos related to

Sort By:
Pageof 3
The Journal of Chemical Physics|May 6, 2010
Expectation values in two-component relativistic theoriesJunji Seino, Wataru Uesugi, Masahiko Hada
The Journal of Physical Chemistry. A|August 20, 2019
Bond Energy Density Analysis Combined with Informatics TechniqueHiromi Nakai, Junji Seino, Kairi Nakamura
The Journal of Chemical Physics|March 24, 2018
Gauge-origin independent formalism of two-component relativistic framework based on unitary transformation in nuclear magnetic shielding constantMasao Hayami, Junji Seino, Hiromi Nakai
Journal of Computational Chemistry|March 3, 2015
An ab initio study of nuclear volume effects for isotope fractionations using two-component relativistic methodsKeisuke Nemoto, Minori Abe, Junji Seino, et al.
The Journal of Physical Chemistry. A|August 18, 2006
SAC and SAC-CI calculations of excitation and circular dichroism spectra of straight-chain and cyclic dichalcogensJunji Seino, Yasushi Honda, Masahiko Hada, et al.
The Journal of Chemical Physics|November 14, 2020
Machine-learned electron correlation model based on frozen core approximationYasuhiro Ikabata, Ryo Fujisawa, Junji Seino, et al.
The Journal of Chemical Physics|July 2, 2018
Semi-local machine-learned kinetic energy density functional with third-order gradients of electron densityJunji Seino, Ryo Kageyama, Mikito Fujinami, et al.
Journal of Computational Chemistry|August 11, 2017
Computerized implementation of higher-order electron-correlation methods and their linear-scaling divide-and-conquer extensionsMasahiko Nakano, Takeshi Yoshikawa, So Hirata, et al.
The Journal of Chemical Physics|May 3, 2019
Extension and acceleration of relativistic density functional theory based on transformed density operatorYasuhiro Ikabata, Takuro Oyama, Masao Hayami, et al.
The Journal of Chemical Physics|July 15, 2019
Machine-learned electron correlation model based on correlation energy density at complete basis set limitTakuro Nudejima, Yasuhiro Ikabata, Junji Seino, et al.
Pageof 3