Junji Seino

次席研究員(研究院講師)

  • 353 Citations
  • 10 h-Index
20062019
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  • 3 Similar Profiles
Hamiltonians Chemical Compounds
Electrons Chemical Compounds
Molecules Chemical Compounds
electrons Physics & Astronomy
Electron correlations Chemical Compounds
flux density Physics & Astronomy
Carrier concentration Chemical Compounds
Kinetic energy Chemical Compounds

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Research Output 2006 2019

  • 353 Citations
  • 10 h-Index
  • 34 Article
  • 1 Comment/debate

Bond Energy Density Analysis Combined with Informatics Technique

Nakai, H., Seino, J. & Nakamura, K., 2019 Sep 12, In : The journal of physical chemistry. A. 123, 36, p. 7777-7784 8 p.

Research output: Contribution to journalArticle

Chemical bonds
flux density
Hydrocarbons
Linear equations
chemical bonds
1 Citation (Scopus)

Extension and acceleration of relativistic density functional theory based on transformed density operator

Ikabata, Y., Oyama, T., Hayami, M., Seino, J. & Nakai, H., 2019 Apr 28, In : Journal of Chemical Physics. 150, 16, 164104.

Research output: Contribution to journalArticle

Open Access
Density functional theory
Mathematical operators
density functional theory
operators
Hamiltonians
Open Access
Electron correlations
flux density
Carrier concentration
electrons
Molecular orbitals

Semi-local machine-learned kinetic energy density functional demonstrating smooth potential energy curves

Seino, J., Kageyama, R., Fujinami, M., Ikabata, Y. & Nakai, H., 2019 Nov 1, In : Chemical Physics Letters. 734, 136732.

Research output: Contribution to journalArticle

Potential energy
Kinetic energy
flux density
kinetic energy
potential energy

Virtual reaction condition optimization based on machine learning for a small number of experiments in high-dimensional continuous and discrete variables

Fujinami, M., Seino, J., Nukazawa, T., Ishida, S., Iwamoto, T. & Nakai, H., 2019 Jan 1, In : Chemistry Letters. 48, 8, p. 961-964 4 p.

Research output: Contribution to journalArticle

Learning systems
Experiments