| Symmetry prediction and knowledge discovery from X-ray diffraction patterns using an interpretable machine learning approach Y Suzuki, H Hino, T Hawai, K Saito, M Kotsugi, K Ono Scientific reports 10 (1), 21790, 2020 | 109 | 2020 |
| Automated crystal structure analysis based on blackbox optimisation Y Ozaki, Y Suzuki, T Hawai, K Saito, M Onishi, K Ono npj Computational Materials 6 (1), 75, 2020 | 49 | 2020 |
| Automated estimation of materials parameter from X-ray absorption and electron energy-loss spectra with similarity measures Y Suzuki, H Hino, M Kotsugi, K Ono Npj Computational Materials 5 (1), 39, 2019 | 43 | 2019 |
| Fabrication of L10-FeNi by pulsed-laser deposition M Saito, H Ito, Y Suzuki, M Mizuguchi, T Koganezawa, T Miyamachi, ... Applied Physics Letters 114 (7), 072404, 2019 | 20 | 2019 |
| Self-supervised learning of materials concepts from crystal structures via deep neural networks Y Suzuki, T Taniai, K Saito, Y Ushiku, K Ono Machine Learning: Science and Technology 3 (4), 045034, 2022 | 16 | 2022 |
| Automated Data Analysis for Powder X-Ray Diffraction Using Machine Learning Y Suzuki Synchrotron Radiation News 35 (4), 9-15, 2022 | 12 | 2022 |
| Machine Learning-based Crystal Structure Prediction for X-Ray Microdiffraction Y Suzuki, H Hino, Y Takeichi, T Hawai, M Kotsugi, K Ono Microscopy and Microanalysis 24 (S2), 142-143, 2018 | 10 | 2018 |
| Robotic Powder Grinding with a Soft Jig for Laboratory Automation in Material Science Y Nakajima, M Hamaya, Y Suzuki, T Hawai, F von Drigalski, K Tanaka, ... 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 9 | 2022 |
| Femtosecond resonant magneto-optical Kerr effect measurement on an ultrathin magnetic film in a soft X-ray free electron laser S Yamamoto, Y Kubota, K Yamamoto, Y Takahashi, K Maruyama, ... Japanese Journal of Applied Physics 57 (9S2), 09TD02, 2018 | 8 | 2018 |
| Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding T Taniai, R Igarashi, Y Suzuki, N Chiba, K Saito, Y Ushiku, K Ono The Twelfth International Conference on Learning Representations, 2023 | 7 | 2023 |
| Visualization of Topological Defect in Labyrinth Magnetic Domain by Using Persistent Homology T YAMADA, Y SUZUKI, C MITSUMATA, K ONO, T UENO, I OBAYASHI, ... 表面と真空 62 (3), 153-160, 2019 | 7 | 2019 |
| Extraction of physical parameters from X-ray spectromicroscopy data using machine learning Y Suzuki, H Hino, T Ueno, Y Takeichi, M Kotsugi, K Ono Microscopy and Microanalysis 24 (S2), 478-479, 2018 | 7 | 2018 |
| Neural structure fields with application to crystal structure autoencoders N Chiba, Y Suzuki, T Taniai, R Igarashi, Y Ushiku, K Saito, K Ono Communications Materials 4 (1), 106, 2023 | 3 | 2023 |
| Automation of X-ray absorption spectrum analysis using machine learning Y Suzuki, H Hino, K Ono Denki Kagaku (Online) 88 (1), 36-41, 2020 | | 2020 |
Kanta OnoOsaka UniversityVerified email at ap.eng.osaka-u.ac.jp
