Ninad Bhat
  • News
  • 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

Improving the prediction of mechanical properties of aluminium alloy using data-driven class-based regression

Jan 1, 2023·
Ninad Bhat
,
Amanda S Barnard
,
Nick Birbilis
· 0 min read
Cite
Type
Journal article
Publication
Computational Materials Science
Last updated on Jan 1, 2023
← Inverse design of aluminium alloys using multi-targeted regression Jan 1, 2024
Unsupervised machine learning discovers classes in aluminium alloys Jan 1, 2023 →

© 2024 Me. This work is licensed under CC BY NC ND 4.0

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.