Here we introduce our recent Research News, MANABIYA Manuscripts, and introduce our main Research Topics.
Latest Research
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- YAMAMOTO, Tetsuya
- KUBOTA, Koji
- HARABUCHI, Yu
- JIANG, Julong
- ITO, Hajime
May 08, 2026- research-news
- Latest Research
- Press Release
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- KANNA, Wataru
- HAYASHI, Hiroki
May 08, 2026- Manabiya
- research-news
- Latest Research
- Press Release
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- AIZAWA, Naoya
May 07, 2026- research-news
- Latest Research
- Press Release
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Predicting Enantioselectivity via Kinetic Simulations on Gigantic Reaction Path Networks- HARABUCHI, Yu
- STAUB, Ruben
- GAO, Min
- TSUJI, Nobuya
- LIST, Benjamin
- VARNEK, Alexandre
- MAEDA, Satoshi
Apr 02, 2026- research-news
- Latest Research
- Press Release
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Press Release A fluorescent dye that works in superacidic environments- NAKAJIMA, Tasuku
- GONG, Jian Ping
- KITAGAWA, Yuichi
- HASEGAWA, Yasuchika
- IDE, Yuki
- GAO, Min
- INOKUMA, Yasuhide
Mar 23, 2026- research-news
- Latest Research
- Press Release
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A mutation in nucleocapsid protein enhances pathogenicity of SARS-CoV-2 Omicron XEC variant- TSUDA, Masumi
- WANG, Lei
- TANAKA, Shinya
Jan 16, 2026- research-news
- Latest Research
- Press Release
Topics
- Development of Reaction Path Search Methods
- Machine Learning
- New Development of Tough Double Network Hydrogels
- Development of New Organic Reactions
- Computational Chemistry Leading the Experiment
Overview
The mission of ICReDD is the design and discovery of chemical reactions to enable humanity to purposefully craft chemical reactions to any design. We use computational science, information science, and experimental science to develop new methods, new materials, and new applications across all fields where chemical reactions are important.
In particular, we have been developing the “Artificial Force-Induced Reaction” (AFIR) method that allows the exploration of the full chemical reaction network to discover unknown paths to desired products. The method can be applied to a wide range of reactions such as organic synthesis reactions, photoreactions, nanoparticle catalysts, heterogeneous catalysts, and phase transition reactions. The huge amount of data produced by the method needs to be managed by advanced information technology methods such as path enumeration, data mining, and machine learning that help to pinpoint promising reaction pathways. This approach is complemented by experimental chemists from a variety of fields who verify the proposed reactions, develop new experimental methods, and develop the applications.