Annals of the High Performance Paper Society, Japan
Online ISSN : 2187-2740
Print ISSN : 0288-5867
ISSN-L : 0288-5867
DX in R&D at Asahi Kasei
Yukihiko Uchi
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2022 Volume 60 Pages 3-5

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Abstract

As DX in R&D for material manufacturers, there are methods of materials development using AI and machine learning, such as MI. AI and machine learning are not only for finding raw material conditions for materials, but also for performance evaluation, intellectual property, etc. It is also important to improve the development efficiency of the entire development process, which leads to DX. This presentation will introduce examples of MI implementation within the company, as well as human resource development and the creation of a framework for this.

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© 2022 High Performance Paper Society, Japan

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