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@IDEAsLab-Materials-Informatics

IDEAs Lab-Materials Informatics

Interface Dynamics and Energetics of Alloys (IDEAs) Lab, IIT Ropar || Group Leader: Dr. Pratik K. Ray || Developer Team: @d-beniwal
README.md

Materials Informatics @ IDEAs Lab (IIT Ropar)

This organization page hosts repositories with materials informatics programs developed at Interface Dynamics and Energetics of Alloys (IDEAs) Lab, IIT Ropar. Research areas include: a) Machine learning models, b) Interpretation frameworks, c) Data-driven mathematical models, and d) Symbolic regression.

Group Leader : Dr. Pratik K. Ray (Webpage)

Developer Team : Dishant Beniwal (Github, Webpage)

Other IDEAs Lab Organization Pages:

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  1. reduced-math-model-FCCvsBCC-HEAs reduced-math-model-FCCvsBCC-HEAs Public

    A reduced mathematical (RM) model for prediction of probability of occurence of FCC and BCC phases in high-entropy alloys (HEAs).

    Jupyter Notebook 3

  2. CoSMoR CoSMoR Public

    Compositional-Stimulus and Model-Response framework to extract exact decision-making process along continuous compositional pathways for machine learning models trained for material properties.

    Python 2 2

  3. ML-hardness-MPEAs ML-hardness-MPEAs Public

    Machine learning model for hardness prediction in multi-principal element alloys (MPEAs)

    Python 1

  4. MAPAL MAPAL Public

    Python 1

  5. .github .github Public

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

  6. ML-phase-fraction-MPEAs ML-phase-fraction-MPEAs Public

    Machine learning model for predicting fraction of FCC, BCC and Intermetallic phases in multi-principal element alloys (MPEAs)

    Python

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