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  • Zhongguancun Academy · Zhongguancun Institute of Artificial Intelligence
  • Beijing Haidian
  • 10:43 (UTC -12:00)

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  1. SSE SSE Public

    Assessment and Application of Universal Machine Learning Interatomic Potentials in Solid-State Electrolyte Research

    Jupyter Notebook 12 3

  2. DenseGNN-torch DenseGNN-torch Public

    Official implementation of DenseGNN — a universal, scalable, and efficient graph neural network (GNN) for high-performance property prediction in crystals and molecules.

    Python

  3. MatCascade MatCascade Public

    A Hierarchical Synergistic Deep Learning Framework Integrating Composition, Structure, and Ionic Transport for Solid-State Electrolyte Discovery

    Python 1

  4. L-G-DCNN L-G-DCNN Public

    Rational Design of Deep Learning Networks Based on a Fusion Strategy for Improved Material Property Predictions

    Python

  5. kgcnn-torch kgcnn-torch Public

    Forked from DingyangLyu/kgcnn-torch

    Python

  6. MatOS MatOS Public

    Forked from DingyangLyu/MatOS

    MatOS: An Agent Operating System for Materials Research

    TypeScript

0