| Study of Li atom diffusion in amorphous Li3PO4 with neural network potential W Li, Y Ando, E Minamitani, S Watanabe The Journal of chemical physics 147 (21), 2017 | 176 | 2017 |
| Negative dielectric constant of water confined in nanosheets A Sugahara, Y Ando, S Kajiyama, K Yazawa, K Gotoh, M Otani, M Okubo, ... Nature communications 10 (1), 850, 2019 | 159 | 2019 |
| Pseudocapacitors: Capacitive versus Pseudocapacitive Storage in MXene (Adv. Funct. Mater. 47/2020) Y Ando, M Okubo, A Yamada, M Otani Advanced Functional Materials 30 (47), 2070312, 2020 | 137* | 2020 |
| Autonomous materials synthesis by machine learning and robotics R Shimizu, S Kobayashi, Y Watanabe, Y Ando, T Hitosugi APL Materials 8 (11), 2020 | 127 | 2020 |
| Machine learning approach for prediction of reaction yield with simulated catalyst parameters A Yada, K Nagata, Y Ando, T Matsumura, S Ichinoseki, K Sato Chemistry Letters 47 (3), 284-287, 2018 | 66 | 2018 |
| Dense charge accumulation in MXene with a hydrate-melt electrolyte K Kim, Y Ando, A Sugahara, S Ko, Y Yamada, M Otani, M Okubo, ... Chemistry of Materials 31 (14), 5190-5196, 2019 | 47 | 2019 |
| Germanene and stanene on two-dimensional substrates: Dirac cone and invariant Z Ni, E Minamitani, Y Ando, S Watanabe Physical Review B 96 (7), 075427, 2017 | 46 | 2017 |
| Comparison of different machine learning models for the prediction of forces in copper and silicon dioxide W Li, Y Ando Physical Chemistry Chemical Physics 20, 30006, 2018 | 45 | 2018 |
| Relationship between electric double-layer structure of MXene electrode and its surface functional groups T Shimada, N Takenaka, Y Ando, M Otani, M Okubo, A Yamada Chemistry of Materials 34 (5), 2069-2075, 2022 | 41 | 2022 |
| High-dimensional neural network atomic potentials for examining energy materials: some recent simulations S Watanabe, W Li, W Jeong, D Lee, K Shimizu, E Mimanitani, Y Ando, ... Journal of Physics: Energy 3 (1), 012003, 2020 | 39 | 2020 |
| Cu Diffusion in Amorphous Ta2O5 Studied with a Simplified Neural Network Potential W Li, Y Ando, S Watanabe Journal of the Physical Society of Japan 86 (10), 104004, 2017 | 38 | 2017 |
| Scanning tunnelling spectroscopy of superconductivity on surfaces of LiTi2O4(111) thin films Y Okada, Y Ando, R Shimizu, E Minamitani, S Shiraki, S Watanabe, ... Nature Communications 8 (1), 15975, 2017 | 36 | 2017 |
| The electronic structure of quasi-free-standing germanene on monolayer MX (M= Ga, In; X= S, Se, Te) Z Ni, E Minamitani, Y Ando, S Watanabe Physical Chemistry Chemical Physics 17 (29), 19039-19044, 2015 | 33 | 2015 |
| Ab initio molecular dynamics study of the Helmholtz layer formed on solid–liquid interfaces and its capacitance Y Ando, Y Gohda, S Tsuneyuki Chemical Physics Letters 556, 9-12, 2013 | 32 | 2013 |
| First-principles study of metal–insulator control by ion adsorption on Ti2C MXene dioxide monolayers Y Ando, S Watanabe Applied Physics Express 9 (1), 015001, 2015 | 29 | 2015 |
| Dependence of a cooling rate on structural and vibrational properties of amorphous silicon: A neural network potential-based molecular dynamics study W Li, Y Ando The Journal of Chemical Physics 151 (11), 2019 | 28 | 2019 |
| Dependence of the Schottky barrier on the work function at metal/SiON/SiC (0001) interfaces identified by first-principles calculations Y Ando, Y Gohda, S Tsuneyuki Surface science 606 (19-20), 1501-1506, 2012 | 28 | 2012 |
| Atomic-layer-resolved bandgap structure of an ultrathin oxynitride-silicon film epitaxially grown on T Shirasawa, K Hayashi, H Yoshida, S Mizuno, S Tanaka, T Muro, ... Physical Review B—Condensed Matter and Materials Physics 79 (24), 241301, 2009 | 28 | 2009 |
| Phase stability of Au-Li binary systems studied using neural network potential K Shimizu, EF Arguelles, W Li, Y Ando, E Minamitani, S Watanabe Physical Review B 103 (9), 094112, 2021 | 25 | 2021 |
| Spectrum adapted expectation-maximization algorithm for high-throughput peak shift analysis T Matsumura, N Nagamura, S Akaho, K Nagata, Y Ando Science and Technology of Advanced Materials 20 (1), 733-745, 2019 | 25 | 2019 |
Satoshi WatanabeDepartment of Materials Engineering, The University of Tokyo確認したメール アドレス: cello.t.u-tokyo.ac.jp
