Materials informatics is the application of data-driven methods, including machine learning techniques, to the field of materials science. This technology has the potential to enhance the sustainability of materials and their manufacturing processes, and is becoming increasingly popular due to its ability to save money and accelerate materials innovation. The market for the provision of external materials informatics services is predicted to grow at 13.7% CAGR to 2033. Projects such as the Open Catalyst Project, initiated by Meta AI and Carnegie Mellon University, are open-sourcing the discovery process to identify catalysts that aid the production of fuels using excess renewable energy. This application of AI for good in sustainability is likely to become a major part of the ESG toolboxes of machine learning industry titans.
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