Mitsunori Nakamoto
Senior Professional at 村田製作所
Greater Tokyo Area Japan
Summary
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Senior🎓
Top SchoolMitsunori Nakamoto is a senior technical leader at Murata Manufacturing with eight years in battery R&D and a longer track record in atomistic modeling from roles at Sony and academia. He specializes in integrating atomistic and Newman (DFN) modeling, DEM simulations, and machine learning to accelerate materials selection and electrode/cell design for lithium-ion, solid-state, and metal batteries. His work spans from molecular-scale simulations (SEI, electrolytes, coatings) to 3D electrode design and degradation modeling, enabling simulation-driven experimental strategies. He also contributes to corporate strategy and roadmapping for battery and modeling efforts, bridging hands-on research with product-level planning. A former visitor at UC Berkeley and trained at University of Tokyo and Osaka University, he pairs deep applied-physics expertise with data-driven methods. Notably, he blends explainable ML for materials discovery with practical engineering simulations—bringing both research rigor and manufacturable insight to battery innovation.
8 years of coding experience
14 years of employment as a software developer
Visitor, Chemistry, Visitor, Chemistry at University of California, BerkeleyBachelor of Engineering - BE, Applied physics, Bachelor of Engineering - BE, Applied physics at Osaka UniversityUniversity of Tokyo
English, French
Github Skills (28)
google-maps8
single-file7
maps6
planning6
rapidapi6
react6
sac6
router6
react-native6
reinforcement-learning6
cql5
android5
iframe5
inline5
ios5
Programming languages (8)
Github contributions (5)
nakamotoo/TwitterUI
Mar 2018 - Apr 2021
Contributions:1 push, 1 branch in 3 years 1 month
nakamotoo/lifelong_rl
Dec 2021 - May 2022
Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Reset-Free Lifelong Learning with Skill-Space Planning.
Contributions:31 PRs, 30 pushes, 19 branches in 4 months
pytorchimplementationsmodel-basedfocusingdeep-learning
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