재료정보학 : 소재 연구개발에서의 AI 를 통한 디지털 혁신

Materials informatics (MI) involves using data-centric approaches, including AI and machine learning, to accelerate materials R&D and take it in new directions. The effects of this fundamental change in how materials R&D proceeds have been significant, with a growing number of success stories and attention further focused by the ongoing AI boom.

 

By combining well-designed data infrastructures with advanced optimization and statistical tools, scientists and engineers can design new materials, discover materials for a given application, or fine-tune of how materials are processed. There is no one-size-fits-all approach and a growing number of strategies have evolved. The competitive benefits felt by adopters are set to be significant.

 

In this webinar, IDTechEx will give a comprehensive overview of this field. This is based on extensive primary interviews across the industry and draws on information from their leading technical report on this topic - "Materials Informatics 2024-2034: Markets, Strategies, Players", marking the fourth year of IDTechEx's coverage of this field.

 

This webinar will provide: