| Crystal structure prediction with machine learning-based element substitution M Kusaba, C Liu, R Yoshida Computational Materials Science 211, 111496, 2022 | 32 | 2022 |
| Recreation of the periodic table with an unsupervised machine learning algorithm M Kusaba, C Liu, Y Koyama, K Terakura, R Yoshida Scientific reports 11 (1), 4780, 2021 | 14 | 2021 |
| Representation of materials by kernel mean embedding M Kusaba, Y Hayashi, C Liu, A Wakiuchi, R Yoshida Physical Review B 108 (13), 134107, 2023 | 2 | 2023 |
| Shotgun crystal structure prediction using machine-learned formation energies C Liu, H Tamaki, T Yokoyama, K Wakasugi, S Yotsuhashi, M Kusaba, ... arXiv preprint arXiv:2305.02158, 2023 | 2 | 2023 |
| Machine learning-based prediction of the electron energy distribution function and electron density of argon plasma from the optical emission spectra FJ Arellano, M Kusaba, S Wu, R Yoshida, Z Donkó, P Hartmann, ... Journal of Vacuum Science & Technology A 42 (5), 2024 | | 2024 |
| GEC Student Excellence Award Finalist Presentation-Machine-learning-based prediction of plasma characteristics from optical emission spectra FJ Arellano, M Gyulai, Z Donkó, P Hartmann, T Tsankov, M Kusaba, S Wu, ... APS Annual Gaseous Electronics Meeting Abstracts, DT1. 002, 2023 | | 2023 |
| Machine Learning for Chemical Elements and Crystal Structures M Kusaba | | |
