2022 Edition: Latest Trends Report on AI Utilization in the Chemical Industry
Reduced man-hours associated with research and development experiments by 55%! Revealing the secrets of data-driven material development.
The chemical industry is increasingly focusing on Materials Informatics (MI), and the number of companies and researchers incorporating MI into their development processes is gradually rising. MI refers to the attempt to utilize digital technologies in product design within process-based manufacturing industries like the chemical sector. Advances in digital technologies such as big data, AI, and machine learning make it possible to analyze vast amounts of experiments and papers to predict material formulations, thereby improving the efficiency of material development. This report discusses the latest trends in the further utilization of AI beyond the realms of Materials Informatics (MI) and product formulation. It also includes case studies from major companies that have already begun initiatives in MI, such as Asahi Kasei, Sumitomo Chemical, Toray, and Yokohama Rubber. *The 55% reduction in man-hours associated with experiments is based on estimates.
- Company：SUPWAT
- Price：Other
