University of Cambridge > Talks.cam > Physics and Chemistry of Solids Group > Machine learning in materials design, oil exploration, and beyond

  Browse A-Z

Log in

Cambridge users (raven)details Other usersdetails No account?details

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

Machine learning in materials design, oil exploration, and beyond

Add to your list(s) Download to your calendar using vCal

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.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

NLIP Seminar Series Cambridge Neuroscience Seminars Sociology of Intellectuals Reading Group Seminar Cambridge University Physics Society Horizon: Bioengineering

Other talks

Macrophage-derived extracellular succinate licenses neural stem cells to suppress chronic neuroinflammation Requirements in Application Development Babraham Lecture - Deciphering the gene regulation network in human germline cells at single-cell & single base resolution 'Alas, poor Yorick!': Laurence Sterne's "A Sentimental Journey" after 250 years' How language variation contributes to reading difficulties and “achievement gaps”
 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity