Hokkaido University

Institute for Chemical Reaction Design and Discovery

Latest Research

• 
  Press ReleaseChemOntology: Artificial Intelligence With Human-Like Intuition for Exploring and Analyzing Chemical Reactions
  • NATH, Pinku
  • ONO, Yuriko
  • HARABUCHI, Yu
  • YAMAMOTO, Yasunori
  • MAEDA, Satoshi
  • TAKETSUGU, Tetsuya
  • YOSHIOKA, Masaharu

  Dec 22, 2025

  • research-news
  • Latest Research
  • Press Release
• 
  MANABIYA Press Release Towards sustainable organic synthesis – Mechanochemistry replaces lithium with sodium in organic reactions
  • KUBOTA, Koji
  • ITO, Hajime

  Dec 09, 2025

  • Manabiya
  • research-news
  • Latest Research
  • Press Release
• 
  Press Release Computationally accelerated organic synthesis – Optimal ligand prediction for generating reactive alkyl ketone radicals
  • TANAKA III, Kosaku
  • DEBBARMA, Suvankar
  • HAYASHI, Hiroki
  • MATSUOKA, Wataru
  • MAEDA, Satoshi
  • MITA, Tsuyoshi

  Oct 22, 2025

  • research-news
  • Latest Research
  • Press Release
• 
  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
• 
  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
• 
  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

View more

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.