| Metal–organic framework photoconductivity via time-resolved terahertz spectroscopy B Pattengale, J Neu, S Ostresh, G Hu, JA Spies, R Okabe, GW Brudvig, ... Journal of the American Chemical Society 141 (25), 9793-9797, 2019 | 58 | 2019 |
| Topological superconductors from a materials perspective M Mandal, NC Drucker, P Siriviboon, T Nguyen, A Boonkird, ... Chemistry of Materials 35 (16), 6184-6200, 2023 | 23 | 2023 |
| Machine learning magnetism classifiers from atomic coordinates HA Merker, H Heiberger, L Nguyen, T Liu, Z Chen, N Andrejevic, ... Iscience 25 (10), 2022 | 15 | 2022 |
| A conductive metal–organic framework photoanode B Pattengale, JG Freeze, MJ Guberman-Pfeffer, R Okabe, S Ostresh, ... Chemical Science 11 (35), 9593-9603, 2020 | 14 | 2020 |
| Virtual node graph neural network for full phonon prediction R Okabe, A Chotrattanapituk, A Boonkird, N Andrejevic, X Fu, ... Nature Computational Science 4 (7), 522-531, 2024 | 10 | 2024 |
| Efficient solvent suppression with adiabatic inversion for 1H-detected solid-state NMR T Matsunaga, R Okabe, Y Ishii Journal of Biomolecular NMR 75, 365-370, 2021 | 8 | 2021 |
| Universal Ensemble‐Embedding Graph Neural Network for Direct Prediction of Optical Spectra from Crystal Structures NT Hung, R Okabe, A Chotrattanapituk, M Li Advanced Materials 36 (46), 2409175, 2024 | 6 | 2024 |
| Machine learning detection of Majorana zero modes from zero-bias peak measurements M Cheng, R Okabe, A Chotrattanapituk, M Li Matter, 2024 | 3 | 2024 |
| Challenges and opportunities of machine learning on neutron and X-ray scattering NC Drucker, T Liu, Z Chen, R Okabe, A Chotrattanapituk, T Nguyen, ... Synchrotron Radiation News 35 (4), 16-20, 2022 | 3 | 2022 |
| Structural constraint integration in generative model for discovery of quantum material candidates R Okabe, M Cheng, A Chotrattanapituk, NT Hung, X Fu, B Han, Y Wang, ... arXiv preprint arXiv:2407.04557, 2024 | 2 | 2024 |
| Precise Fermi level engineering in a topological Weyl semimetal via fast ion implantation M Mandal, A Chotrattanapituk, K Woller, L Wu, H Xu, NT Hung, N Mao, ... Applied Physics Reviews 11 (2), 2024 | 2 | 2024 |
| Tetris-inspired detector with neural network for radiation mapping R Okabe, S Xue, JR Vavrek, J Yu, R Pavlovsky, V Negut, BJ Quiter, ... Nature Communications 15 (1), 3061, 2024 | 2 | 2024 |
| Materials Informatics for the Development and Discovery of Future Magnetic Materials R Okabe, M Li, Y Iwasaki, N Regnault, C Felser, M Shirai, A Kovacs, ... IEEE Magnetics Letters 14, 1-5, 2023 | 2 | 2023 |
| Large language model-guided prediction toward quantum materials synthesis R Okabe, Z West, A Chotrattanapituk, M Cheng, DC Carrizales, W Xie, ... arXiv preprint arXiv:2410.20976, 2024 | 1 | 2024 |
| Incipient nematicity from electron flat bands in a kagome metal N Drucker, T Nguyen, M Mandal, P Siriviboon, Y Quan, A Boonkird, ... arXiv preprint arXiv:2401.17141, 2024 | 1 | 2024 |
| AI-driven materials design: a mini-review M Cheng, CL Fu, R Okabe, A Chotrattanapituk, A Boonkird, NT Hung, M Li arXiv preprint arXiv:2502.02905, 2025 | | 2025 |
| Quantum Theory of X-ray Photon Correlation Spectroscopy P Siriviboon, CL Fu, M Landry, R Okabe, DC Carrizales, Y Wang, M Li arXiv preprint arXiv:2412.03635, 2024 | | 2024 |
| Structural Constraint Integration in Generative Model for Discovery of Quantum Material Candidates M Li, R Okabe, M Cheng, A Chottratanapituk, NT Hung, X Fu, B Han, ... | | 2024 |
| Universal Ensemble‐Embedding Graph Neural Network for Direct Prediction of Optical Spectra from Crystal Structures (Adv. Mater. 46/2024) NT Hung, R Okabe, A Chotrattanapituk, M Li Advanced Materials 36 (46), 2470369, 2024 | | 2024 |
| AI-Powered Exploration of Molecular Vibrations, Phonons, and Spectroscopy B Han, R Okabe, A Chotrattanapituk, M Cheng, M Li, Y Cheng Digital Discovery, 2024 | | 2024 |
Mingda LiClass of 1947 Career Development Professor, MIT確認したメール アドレス: mit.edu