| Unveiling a new aspect of simple arylboronic esters: long-lived room-temperature phosphorescence from heavy-atom-free molecules Y Shoji, Y Ikabata, Q Wang, D Nemoto, A Sakamoto, N Tanaka, J Seino, ... Journal of the American Chemical Society 139 (7), 2728-2733, 2017 | 264 | 2017 |
| Semi-local machine-learned kinetic energy density functional with third-order gradients of electron density J Seino, R Kageyama, M Fujinami, Y Ikabata, H Nakai The Journal of Chemical Physics 148 (24), 241705, 2018 | 87 | 2018 |
| Local unitary transformation method for large-scale two-component relativistic calculations: Case for a one-electron Dirac Hamiltonian J Seino, H Nakai The Journal of chemical physics 136 (24), 2012 | 79 | 2012 |
| Examination of accuracy of electron–electron Coulomb interactions in two-component relativistic methods J Seino, M Hada Chemical Physics Letters 461 (4-6), 327-331, 2008 | 65 | 2008 |
| Local unitary transformation method for large-scale two-component relativistic calculations. II. Extension to two-electron Coulomb interaction J Seino, H Nakai The Journal of Chemical Physics 137 (14), 2012 | 52 | 2012 |
| Orbital-free density functional theory calculation applying semi-local machine-learned kinetic energy density functional and kinetic potential M Fujinami, R Kageyama, J Seino, Y Ikabata, H Nakai Chemical Physics Letters 748, 137358, 2020 | 41 | 2020 |
| Semi-local machine-learned kinetic energy density functional demonstrating smooth potential energy curves J Seino, R Kageyama, M Fujinami, Y Ikabata, H Nakai Chemical Physics Letters 734, 136732, 2019 | 39 | 2019 |
| Magnetic shielding constants calculated by the infinite-order Douglas–Kroll–Hess method with electron-electron relativistic corrections J Seino, M Hada The Journal of chemical physics 132 (17), 2010 | 37 | 2010 |
| Machine-learned electron correlation model based on correlation energy density at complete basis set limit T Nudejima, Y Ikabata, J Seino, T Yoshikawa, H Nakai The Journal of chemical physics 151 (2), 2019 | 34 | 2019 |
| Expectation values in two-component relativistic theories J Seino, W Uesugi, M Hada The Journal of chemical physics 132 (16), 2010 | 31 | 2010 |
| Local unitary transformation method toward practical electron correlation calculations with scalar relativistic effect in large-scale molecules J Seino, H Nakai The Journal of Chemical Physics 139 (3), 2013 | 30 | 2013 |
| Analytical energy gradient based on spin-free infinite-order Douglas-Kroll-Hess method with local unitary transformation Y Nakajima, J Seino, H Nakai The Journal of Chemical Physics 139 (24), 2013 | 23 | 2013 |
| Quantum chemical reaction prediction method based on machine learning M Fujinami, J Seino, H Nakai Bulletin of the Chemical Society of Japan 93 (5), 685-693, 2020 | 21 | 2020 |
| SAC and SAC− CI calculations of excitation and circular dichroism spectra of straight-chain and cyclic dichalcogens J Seino, Y Honda, M Hada, H Nakatsuji The Journal of Physical Chemistry A 110 (33), 10053-10062, 2006 | 21 | 2006 |
| RAQET: Large‐scale two‐component relativistic quantum chemistry program package M Hayami, J Seino, Y Nakajima, M Nakano, Y Ikabata, T Yoshikawa, ... Journal of Computational Chemistry 39 (27), 2333-2344, 2018 | 19 | 2018 |
| Frozen core potential scheme with a relativistic electronic Hamiltonian: Theoretical connection between the model potential and all-electron treatments J Seino, M Tarumi, H Nakai Chemical Physics Letters 592, 341-348, 2014 | 17 | 2014 |
| Relativistic density functional theory with picture-change corrected electron density based on infinite-order Douglas-Kroll-Hess method T Oyama, Y Ikabata, J Seino, H Nakai Chemical Physics Letters 680, 37-43, 2017 | 16 | 2017 |
| Applicability of the lowest-order two-electron Breit–Pauli relativistic correction in many-electron heavy and super-heavy elements J Seino, M Hada Chemical physics letters 442 (1-3), 134-139, 2007 | 15 | 2007 |
| Informatics‐Based Energy Fitting Scheme for Correlation Energy at Complete Basis Set Limit J Seino, H Nakai Journal of Computational Chemistry 37 (25), 2304-2315, 2016 | 13 | 2016 |
| Machine-learned electron correlation model based on frozen core approximation Y Ikabata, R Fujisawa, J Seino, T Yoshikawa, H Nakai The Journal of Chemical Physics 153 (18), 2020 | 12 | 2020 |
Hiromi NakaiProfessor, Dept. of Chemistry & Biochemistry, School of Advanced Science & Engineering, Waseda Univ.在 waseda.jp 的电子邮件经过验证
