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Researchers at U of T, Northwestern Use AI to Accelerate Discovery of Industrial Materials
Researchers at the University of Toronto and Northwestern University are using machine learning to craft the best materials for different industrial uses.
The findings, published this week in Nature Machine Intelligence, demonstrated that the use of AI can help propose novel materials for diverse applications, helping to speed up the design cycle for materials. One example is the separation of carbon dioxide from industrial combustion processes.
With the objective of improving the separation of chemicals in industrial processes, the team of researchers including collaborators from Harvard University and the University of Ottawa, set out to identify the best reticular frameworks – for example, metal organic frameworks and covalent organic frameworks – for use in the process. Such frameworks, which can be thought of as tai