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The Modern Day BlacksmithAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact nrc25. 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. This talk is included in these lists:Note that ex-directory lists are not shown. |
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