Press release
Last updated
2025/2/26
source:
Japan Public Relations Research Institute
February 26, 2025, 14:30
AI Power Corporation (Headquarters: Shinjuku, Tokyo, CEO: Shinji Matsuda) has announced that it has reached an agreement with Professor Ichinari Dōmen, Special Professor at the University of Tokyo (Bunkyo, Tokyo), to conduct joint research on the development of innovative, high-performance water splitting photocatalysts using artificial intelligence (AI).
The joint research aims to develop water splitting photocatalysts with high solar-to-hydrogen (STH) efficiency at a practical level. Current visible-light responsive photocatalysts can absorb long-wavelength visible light (600-700nm), but their quantum yield is relatively low, and their STH remains below 1%. This research seeks to break through these limitations. By exchanging information between Professor Dōmen, a globally renowned expert in catalytic chemistry and photocatalyst development, and AI Power, which specializes in the application of AI in the field of science, the aim is to develop photocatalyst methods with an STH of 5-10%.
Regarding the partnership, Professor Dōmen stated, "With the introduction of AI Power's advanced AI technologies, new possibilities will be added to the catalytic science insights we have accumulated, and it is expected that innovative research methods that integrate complex factors will be established. Particularly, achieving high-efficiency reactions in the visible light range requires a multifaceted approach, and our collaboration with AI Power will be a great driving force." President Matsuda of AI Power expressed his thoughts: "Through this joint research, I am pleased that our AI analysis technology, which is also used in the development of 'Hydrogen Magnesium Energy,' will merge with the cutting-edge catalyst research at the University of Tokyo. By applying our unique AI analysis, we can reach optimal solutions that were previously unattainable by human efforts, and I am confident that this will contribute to the realization of a clean energy society."
The research framework involves Professor Dōmen overseeing the experimental research and validating the effectiveness of AI-guided catalyst candidates through experimental verification. AI Power will propose new formulations and optimization of physical mixing conditions using AI algorithms, aiming for feedback and optimization based on large-scale data analysis.
The research period is planned for one year, from March 1, 2025, to February 28, 2026.
The expected outcomes of this joint research include:
Significant reduction in hydrogen energy costs through the achievement of a solar-to-hydrogen efficiency (STH) of 5-10%.
The establishment of innovative research and development methods by merging AI and material science, with potential applications in other material development fields.
Promotion of the practical application of clean energy production technologies, accelerating the realization of a "decarbonized" society, and contributing to the establishment of a sustainable energy supply infrastructure.
Company Overview
Company Name: AI Power Corporation
CEO: Shinji Matsuda
Established: August 2024
Business Focus: AI energy balancing systems, provision of AI-powered deep learning agents, AI parallel analysis system development, and consulting. The company aims to be a developer of next-generation energy technologies with an emphasis on innovation and sustainability. Additionally, AI Power is utilizing AI-based chemical analysis manufacturing technology in the development of "Hydrogen Magnesium Energy," focusing on energy efficiency and cost reduction.
Location: 12th Floor, YKB Ensign Building, 4-28-4 Yotsuya, Shinjuku, Tokyo
Contact Information
AI Power Corporation (Contact: Hayashi)
Phone: 03-6899-3966
Email: info@ai-power3.com
(1) Visible-light responsive photocatalysts – Photocatalysts that function with visible light (from violet at approximately 380nm to red at 780nm). Titanium oxide, which is widely used, works in the ultraviolet range. Visible-light responsive photocatalysts are expected to become more prevalent as they can function even in environments with little UV light, such as indoors.
(2) Solar-to-hydrogen efficiency (STH) – The efficiency of converting sunlight into hydrogen by splitting water.
(3) Quantum yield – The ratio of the number of photons required to produce one hydrogen molecule.
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