Taro Hitosugi
Papers
6
Total Citations
233
H-Index
6
About
Taro Hitosugi is a pioneering materials scientist whose research sits at the cutting edge of autonomous materials discovery, combining machine learning, robotics, and thin-film synthesis to revolutionize how new materials are found and optimized. His most influential work, "Autonomous materials synthesis by machine learning and robotics" (2020, 183 citations), established a compelling vision for self-directed experimental systems capable of minimizing human intervention while maximizing research efficiency — demonstrated through the autonomous optimization of Nb-doped TiO₂ thin films. Hitosugi has since built systematically on this foundation, advancing Bayesian optimization frameworks for navigating complex multidimensional synthesis parameter spaces, and applying autonomous platforms to practically important challenges such as discovering unexpected electrode materials for lithium batteries. His 2023 work on fully autonomous experimental systems signals a broader paradigm shift in the field, moving materials science toward algorithm-driven discovery at scale. Beyond autonomous research, Hitosugi's investigations into thin-film interfaces — including achieving extremely low electrical contact resistance in fuel cell components — demonstrate his commitment to real-world energy applications. His body of work positions him as a key architect of next-generation, data-driven materials science methodology.
Research Focus
Key Achievements
Top Papers
- 1Autonomous materials synthesis by machine learning and robotics183 citations · 2020
- 2Autonomous experimental systems in materials science15 citations · 2023
- 3
- 4
- 5
- 6