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Ryotaro Okabe

Showing results (1-10 of 12) with videos related to

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Journal of Biomolecular NMR|October 21, 2021
Efficient solvent suppression with adiabatic inversion for <sup>1</sup>H-detected solid-state NMRTatsuya Matsunaga, Ryotaro Okabe, Yoshitaka Ishii
Advanced Materials (Deerfield Beach, Fla.)|September 12, 2024
Universal Ensemble-Embedding Graph Neural Network for Direct Prediction of Optical Spectra from Crystal StructuresNguyen Tuan Hung, Ryotaro Okabe, Abhijatmedhi Chotrattanapituk, et al.
Nature Materials|January 2, 2026
Artificial intelligence-driven approaches for materials design and discoveryMouyang Cheng, Chu-Liang Fu, Ryotaro Okabe, et al.
Journal of the American Chemical Society|June 11, 2019
Metal-Organic Framework Photoconductivity via Time-Resolved Terahertz SpectroscopyBrian Pattengale, Jens Neu, Sarah Ostresh, et al.
Chemistry of Materials : a Publication of the American Chemical Society|August 28, 2023
Topological Superconductors from a Materials PerspectiveManasi Mandal, Nathan C Drucker, Phum Siriviboon, et al.
Chemical Science|June 7, 2021
A conductive metal-organic framework photoanodeBrian Pattengale, Jessica G Freeze, Matthew J Guberman-Pfeffer, et al.
Advanced Materials (Deerfield Beach, Fla.)|June 23, 2025
AI-Driven Defect Engineering for Advanced Thermoelectric MaterialsChu-Liang Fu, Mouyang Cheng, Nguyen Tuan Hung, et al.
Iscience|October 20, 2022
Machine learning magnetism classifiers from atomic coordinatesHelena A Merker, Harry Heiberger, Linh Nguyen, et al.
Nature Computational Science|July 12, 2024
Virtual node graph neural network for full phonon predictionRyotaro Okabe, Abhijatmedhi Chotrattanapituk, Artittaya Boonkird, et al.
Nature Communications|April 9, 2024
Tetris-inspired detector with neural network for radiation mappingRyotaro Okabe, Shangjie Xue, Jayson R Vavrek, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Journal of Biomolecular NMR|October 21, 2021
Efficient solvent suppression with adiabatic inversion for <sup>1</sup>H-detected solid-state NMRTatsuya Matsunaga, Ryotaro Okabe, Yoshitaka Ishii
Advanced Materials (Deerfield Beach, Fla.)|September 12, 2024
Universal Ensemble-Embedding Graph Neural Network for Direct Prediction of Optical Spectra from Crystal StructuresNguyen Tuan Hung, Ryotaro Okabe, Abhijatmedhi Chotrattanapituk, et al.
Nature Materials|January 2, 2026
Artificial intelligence-driven approaches for materials design and discoveryMouyang Cheng, Chu-Liang Fu, Ryotaro Okabe, et al.
Journal of the American Chemical Society|June 11, 2019
Metal-Organic Framework Photoconductivity via Time-Resolved Terahertz SpectroscopyBrian Pattengale, Jens Neu, Sarah Ostresh, et al.
Chemistry of Materials : a Publication of the American Chemical Society|August 28, 2023
Topological Superconductors from a Materials PerspectiveManasi Mandal, Nathan C Drucker, Phum Siriviboon, et al.
Chemical Science|June 7, 2021
A conductive metal-organic framework photoanodeBrian Pattengale, Jessica G Freeze, Matthew J Guberman-Pfeffer, et al.
Advanced Materials (Deerfield Beach, Fla.)|June 23, 2025
AI-Driven Defect Engineering for Advanced Thermoelectric MaterialsChu-Liang Fu, Mouyang Cheng, Nguyen Tuan Hung, et al.
Iscience|October 20, 2022
Machine learning magnetism classifiers from atomic coordinatesHelena A Merker, Harry Heiberger, Linh Nguyen, et al.
Nature Computational Science|July 12, 2024
Virtual node graph neural network for full phonon predictionRyotaro Okabe, Abhijatmedhi Chotrattanapituk, Artittaya Boonkird, et al.
Nature Communications|April 9, 2024
Tetris-inspired detector with neural network for radiation mappingRyotaro Okabe, Shangjie Xue, Jayson R Vavrek, et al.
Pageof 2