Ninad Bhat
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  • Projects
    • ML Alloy Designer
    • Alloy Mixing Calculator
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  • Blog
    • Completed HIDA Visiting Research Fellowship
    • Traveling to Germany for HIDA Visiting Research Fellowship
    • Attended AIMSE 2023
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    • Attended Light Metals Technology 2023
  • Projects
  • Publications
    • Inverse Design of Aluminium Alloys Using Genetic Algorithm: A Class-Based Workflow
    • Inverse design of aluminium alloys using multi-targeted regression
    • Improving the prediction of mechanical properties of aluminium alloy using data-driven class-based regression
    • Unsupervised machine learning discovers classes in aluminium alloys
    • On the in-situ characterisation of metastable pitting using 316L stainless steel as a case study
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Unsupervised machine learning discovers classes in aluminium alloys

Jan 1, 2023·
Ninad Bhat
,
Amanda S Barnard
,
Nick Birbilis
· 0 min read
Cite
Type
Journal article
Publication
Royal Society Open Science
Last updated on Jan 1, 2023
← Improving the prediction of mechanical properties of aluminium alloy using data-driven class-based regression Jan 1, 2023
On the in-situ characterisation of metastable pitting using 316L stainless steel as a case study Jan 1, 2020 →

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