Ryotaro Okabe

According to our database, Ryotaro Okabe authored at least 6 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Universal Magnetic Structure Prediction from Atomic Coordinates with Near-Experimental Accuracy.

Abhijatmedhi Chotrattanapituk, Ryotaro Okabe, Eunbi Rha, Mariya Al-Hinai, Eugene Jiang, Daniel M. Pajerowski, Yongqiang Cheng, Joshua J. Turner, Mingda Li

CoRR, May, 2026

2025

AI-driven materials design: a mini-review.

Mouyang Cheng, Chu-Liang Fu, Ryotaro Okabe, Abhijatmedhi Chotrattanapituk, Artittaya Boonkird, Nguyen Tuan Hung, Mingda Li

CoRR, February, 2025

2024

Virtual node graph neural network for full phonon prediction.

Ryotaro Okabe, Abhijatmedhi Chotrattanapituk, Artittaya Boonkird, Nina Andrejevic, Xiang Fu, Tommi S. Jaakkola, Qichen Song, Thanh Nguyen, Nathan C. Drucker, Sai Mu, Yao Wang, Bolin Liao, Yongqiang Cheng, Mingda Li

Nat. Comput. Sci., July, 2024

Large Language Model-Guided Prediction Toward Quantum Materials Synthesis.

Ryotaro Okabe, Zack West, Abhijatmedhi Chotrattanapituk, Mouyang Cheng, Denisse Córdova Carrizales, Weiwei Xie, Robert J. Cava, Mingda Li

CoRR, 2024

Structural Constraint Integration in Generative Model for Discovery of Quantum Material Candidates.

Ryotaro Okabe, Mouyang Cheng, Abhijatmedhi Chotrattanapituk, Nguyen Tuan Hung, Xiang Fu, Bowen Han, Yao Wang, Weiwei Xie, Robert J. Cava, Tommi S. Jaakkola, Yongqiang Cheng, Mingda Li

CoRR, 2024

2023

Tetris-inspired detector with neural network for radiation mapping.

Ryotaro Okabe, Shangjie Xue, Jiankai Yu, Tongtong Liu, Benoit Forget, Stefanie Jegelka, Gordon Kohse, Lin-wen Hu, Mingda Li

CoRR, 2023