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The Modern Day Blacksmith

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We present a machine learning methodology that exploits multiple sources of materials information: experimental data, physical laws, and computer simulations. We illustrate the tool by designing a nickel-base superalloy for direct laser deposition. Starting from a training set comprising just ten core results, the machine learning tool juxtaposes complementary material properties, designs an alloy, and we then present the experimental validation of its properties. We highlight further case studies in materials, healthcare, and pharmaceuticals that motivated the commercialization of the machine learning tool.

See the TCM graduate teaching page for further information.

This talk is part of the TCM Graduate Lectures series.

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Cambridge University Engineering Department, Lecture room 3A Room 7, Faculty of Asian and Middle Eastern Studies, Sidgwick Avenue, CB3 9DA MR14, Centre for Mathematical Sciences & Zoom (contact organiser for the zoom link)

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