Ninad Bhat
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  • Experience
  • Projects
  • Bio
  • Projects
    • ML Alloy Designer
    • Alloy Mixing Calculator
    • atomId
    • AiiDA-REST
  • Blog
    • Completed HIDA Visiting Research Fellowship
    • Traveling to Germany for HIDA Visiting Research Fellowship
    • Attended AIMSE 2023
    • Attended PyCon AU 2023
    • 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
  • Experience

ML Alloy Designer

Sep 10, 2024 · 1 min read
Go to Project Site

ML Alloy Designer is a tool developed to help users design new alloys. It predicts the mechanical properties of alloys based on their elemental composition and can also determine the composition of new alloys to achieve a desired set of properties.

Last updated on Sep 10, 2024
Django Python React RESTful API
Ninad Bhat
Authors
Ninad Bhat
Doctoral Candidate
Alloy Mixing Calculator Aug 15, 2024 →

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