Sergei Manzhos
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Associate Professor
JapanResearch Interests
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About
Dr. Sergei Manzhos is an Associate Professor at Tokyo Institute of Technology, Japan. His research areas encompass machine learning applications in materials science, focusing on neural networks, polymeric additives for solar cells, and hydrogen energy storage systems. Dr. Manzhos has contributed to various publications addressing computational modeling, Gaussian processes, and advancements in organic field-effect transistors.
Recent Grants
Grant: Close
L'amélioration de la précision et la productivité de l'usinage ultraprécis de matériaux difficiles à usiner
Open Date: 2020-01-01
Close Date: 2021-01-01
Grant: Close
Computational modeling and design of materials for energy conversion and storage & next generation methods
Open Date: 2020-01-01
Close Date: 2025-01-01
Grant: Close
Development of machine learning and artificial intelligence based tools to improve efficiency in financial services
Open Date: 2019-12-01
Close Date: 2021-11-01
Grant: Close
Predictive computational anisotropic ductile failure of magnesium alloys
Open Date: 2017-12-01
Close Date: 2021-01-01
Grant: Close
Machine Learning to Enable Large-Scale Ab Initio Modelling with Orbital-Free DFT
Open Date: 2017-03-01
Close Date: 2020-03-01
Articles (12)
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2025
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2023
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2023
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2023
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2023
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2023
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2023
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2023
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2023
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2023
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2023
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2023
Collaborators (6)
Hidetoshi Matsumoto
Professor
Tokyo Institute of Technology
Yasunori Kikuchi
University of Tokyo
Jacinto Sa
Institute of Physical Chemistry
Soyeon Kim
Assistant Professor
Tohoku University
Tucker Carrington.
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Tsuyoshi Michinobu
Professor
Tokyo Institute of Technology
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