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Machine learning in materials design, oil exploration, and beyond

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If you have a question about this talk, please contact Stephen Walley .

We have developed a new tool that employs neural networks to guide data acquisition, model trends, and exploit correlations to find optimal configurations. We exploited the tool to discover four new alloys for use in jet engines, whose properties have been experimentally verified and are now undergoing compliance testing by Rolls-Royce plc. The tool is being further developed with the support of a Samsung GRO to encompass further materials prediction tools, and with BP to guide oil exploration.

This talk is part of the Physics and Chemistry of Solids Group series.

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Rooms SG1 & SG2, Alison Richard Building, 7 West Road, Cambridge, CB3 9DT Plumb Auditorium, Seminar Room 3, Alison Richards Building

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