MaterialsProject-ML

**Status**: ℹ️ PLATFORM / ECOSYSTEM

7. STRUCTURE PREDICTION 7.4 ML-Accelerated Structure Prediction VERIFIED 2 papers
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Overview

**Status**: ℹ️ PLATFORM / ECOSYSTEM

Reference Papers (2)

Full Documentation

Official Resources

  • Homepage: https://materialsproject.org/
  • Source Repository: https://github.com/materialsproject
  • Documentation: https://next-gen.materialsproject.org/
  • License: MIT / Creative Commons

Overview

Status: ℹ️ PLATFORM / ECOSYSTEM

"MaterialsProject-ML" refers to the machine learning ecosystem provided by The Materials Project. It is not a single downloadable tool but a collection of libraries, models, and APIs designed for materials informatics and structure screening.

Key components include:

  • MEGNet: Graph Networks for Materials Chemistry.
  • M3GNet: Universal Interatomic Potential for materials.
  • Matminer: Data mining library for materials.
  • Pymatgen: Core analysis library.

Capabilities

  • Structure Prediction: M3GNet can relax structures and predict stability (formation energy).
  • Screening: Filter millions of candidate structures using pre-trained models.
  • Property Prediction: Band gap, modulus, etc.

Verification & Sources

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