A Comprehensive and Versatile Multimodal Deep Learning Approach for Predicting Diverse Properties of Advanced Materials. - Shun Muroga; Yasuaki Miki; Kenji Hata (CoRR, 2023)

Tabular Two-Dimensional Correlation Analysis for Multifaceted Characterization Data. - Shun Muroga; Satoshi Yamazaki; Koji Michishio; Hideaki Nakajima; Takahiro Morimoto; Nagayasu Oshima; Kazufumi Kobashi; Toshiya Okazaki (CoRR, 2023)

Real-time Autonomous Control of a Continuous Macroscopic Process as Demonstrated by Plastic Forming. - Shun Muroga; Takashi Honda; Yasuaki Miki; Hideaki Nakajima; Don N. Futaba; Kenji Hata (CoRR, 2023)

Explainable Multimodal Machine Learning for Revealing Structure-Property Relationships in Carbon Nanotube Fibers. - Daisuke Kimura; Naoko Tajima; Toshiya Okazaki; Shun Muroga (CoRR, 2025)