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.
Here we introduce our recent Research News, MANABIYA Manuscripts, and introduce our main Research Topics.
Latest Research
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Press Release Getting sticky: the highest-performing underwater adhesive hydrogel polymer
- HU, Sheng
- WANG, Lei
- TANAKA, Shinya
- TAKIGAWA, Ichigaku
- LI, Wei
- FAN, Hailong
- GONG, Jian Ping
Aug 07, 2025- research-news
- Latest Research
- Press Release
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Press Release Shaping the future of mRNA based drug delivery
- TSUDA, Masumi
- TSUJI, Nobuya
- TANAKA, Shinya
- LIST, Benjamin
Aug 05, 2025- research-news
- Latest Research
- Press Release
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Development of a Simple Compound Mixing Ratio Prediction and Trace Metal Detection System Using Inkjet Printing and Image-Based Machine Learning
- IDE, Yuki
- TAKIGAWA, Ichigaku
- INOKUMA, Yasuhide
Jul 30, 2025- research-news
- Latest Research
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β-Amino Acid Synthesis Using the CO2 Radical Anion under Electrochemical and Photochemical Conditions
- MITA, Tsuyoshi
- MAEDA, Satoshi
- TANAKA III, Kosaku
- HARABUCHI, Yu
- SINGH, Tavinder
Jul 28, 2025- research-news
- Latest Research
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Computationally Guided Development of an Alkene Aminocarboxylation with CO2: Synthesis of a β-Amino Acid Derivative
- MITA, Tsuyoshi
- MAEDA, Satoshi
- HARABUCHI, Yu
- HAYASHI, Hiroki
- TANAKA III, Kosaku
- TAKANO, Hideaki
Jul 11, 2025- research-news
- Latest Research
- Press Release
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Press Release Muscle-like gel polymer gets stronger with a new recipe
- JIANG, Julong
- STAUB, Ruben
- HARABUCHI, Yu
- VARNEK, Alexandre
- GONG, Jian Ping
- MAEDA, Satoshi
Jul 11, 2025- research-news
- Latest Research
- Press Release