Materials scientists and chemists will need machine learning tools to enhance their R&D, according to an IDTechEx report, “Materials Informatics 2020-2030”.
The report said that integrating these underlying operations will not happen quickly, but overlooking the developments in materials informatics will lead to a loss of any competitive advantage.
The report said that Materials informatics (MI) apply data-centric approaches to materials science and certain chemistry R&D. This will be a common method in a research scientist toolkit, and rather than grabbing the headlines, some form of MI techniques will be assumed in all developments.
