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@IDEAsLab-Materials-Informatics

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d-beniwal/README.md

Dishant Beniwal (Github, Personal webpage)

  • Current Affiliation : Postdoc, X-ray Science Division, Argonne National Lab
  • Computational research areas : materials informatics; applied machine learning; cellular automata; machine learning; image processing; high-energy diffraction microscopy

Developer at:

Work hosted at IDEAs Lab organization pages:

  • EDS-PhaSe: Phase segmentation and phase analysis from quantitative analysis of EDS elemental maps
  • CoSMoR: Compositional-Stimulus and Model-Response framework for interpretation of ML models
  • Reduced mathematical model: Reduced, simplified and interpretable mathematical model for FCC vs BCC phase selection in MPEAs
  • ML-hardness prediction in MPEAs: Neural network models for prediction of hardness in MPEAs
  • ML-phase fractions in MPEAs: Neural network models for prediction of phase fraction of FCC, BCC and Intermetallic phases in MPEAs

Pinned Loading

  1. cellular-automata cellular-automata Public

    Python

  2. code-snippets-python code-snippets-python Public

    [Python] - Generic and reusable code snippets for specific tasks.

    Python

  3. IDEAsLab-Materials-Informatics/.github IDEAsLab-Materials-Informatics/.github Public

    Interface Dynamics and Energetics of Alloys (IDEAs) Lab, IIT Ropar