معرفی
NAKAYAMA Masanobu serves as Professor in the Department of Life and Applied Chemistry at Tokyo Institute of Technology, leading research in solid-state battery materials. His work integrates computational modeling, machine learning, and experimental electrochemistry to develop advanced energy storage solutions, with particular focus on ionic conduction mechanisms and interface engineering in next-generation batteries.
His academic foundation includes:
- Bachelor of Engineering in Chemical Engineering (Tokyo Institute of Technology, 1997)
- Master of Science in Chemical Engineering (Tokyo Institute of Technology, 1999)
- Doctor of Engineering in Applied Chemistry (Tokyo Institute of Technology, 2004)
Professor Nakayama's research spans solid-state ionics, electrochemistry, and materials informatics, emphasizing the application of neural network potentials for molecular dynamics simulations. His group pioneers AI-driven approaches to predict ionic conductivity, optimize electrode materials, and understand degradation mechanisms in lithium/sodium-ion batteries. Current projects address critical challenges in sustainable battery development, including cobalt-free cathodes and chloride-based solid electrolytes.
Analysis of his 2024 publications reveals a strong trend toward integrating deep learning with experimental validation to accelerate materials discovery. Key themes include atomic-scale simulation of battery interfaces, machine learning prediction of ionic conductivity, and development of sustainable electrode architectures with enhanced energy density.
His significant contributions have been recognized through:
- Japan Ceramic Society Academic Award (2021)
- MEXT Young Scientist Award (2014)
- Nagai Science and Technology Foundation Academic Award (2013)
- Takagawa Memorial Solid-State Chemistry Award (2009)
- Tokyo Institute of Technology Engineering Young Researcher Award (2008)
- Tedashima Memorial Research Award Doctoral Thesis Award (2005)
Professor Nakayama actively mentors graduate researchers in interdisciplinary projects combining computation and experiment. His group secures competitive funding from Japanese research agencies including JSPS and NEDO, supporting collaborations with industry partners on solid-state battery commercialization. Current grants focus on AI-accelerated materials discovery and interface engineering for all-solid-state batteries.
Based in the Environmental Ceramics Field at Tokyo Tech, his laboratory employs advanced characterization techniques including in situ XPS alongside neural network potential simulations. The team maintains strong industry partnerships for translating fundamental research into practical battery technologies, with recent work emphasizing sustainable materials design and manufacturing scalability.
