Strategies for predicting functionality of polymer electrolyte membranes based on dynamics and hierarchical structures

Research Project

Project/Area Number	24K08091
Research Category	Grant-in-Aid for Scientific Research (C)
Allocation Type	Multi-year Fund
Section	一般
Review Section	Basic Section 26040:Structural materials and functional materials-related
Research Institution	National Institutes for Quantum Science and Technology
Principal Investigator	趙躍国立研究開発法人量子科学技術研究開発機構, 高崎量子技術基盤研究所先端機能材料研究部, 上席研究員 (30450307)
Co-Investigator(Kenkyū-buntansha)	吉村公男国立研究開発法人量子科学技術研究開発機構, 高崎量子技術基盤研究所先端機能材料研究部, 主幹研究員 (40549672)
Project Period (FY)	2024-04-01 – 2027-03-31
Project Status	Granted (Fiscal Year 2024)
Budget Amount *help	¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000) Fiscal Year 2026: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000) Fiscal Year 2025: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000) Fiscal Year 2024: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Keywords	polymer electrolytes / neutron scattering / dynamics / hierarchical structure / simulation
Outline of Research at the Start	The main objective is to construct a dataset of water dynamics and hierarchical structures for predicting the functionality of radiation-grafted polymer electrolyte membranes (PEMs), by the powerful combined approach of neutron scattering and simulations through machine learning.