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Microsoft Released MatterSimV1-1M and MatterSimV1-5M on GitHub: A Leap in Deep Learning for Accurate, Scalable, and Versatile Atomistic Simulations Across Materials Science

  • Microsoft has released MatterSimV1-1M and MatterSimV1-5M on GitHub, offering deep-learning atomistic models for precise simulations in materials science.
  • These models transform material property prediction and atomistic simulations with unprecedented speed and accuracy.
  • MatterSim models accurately predict various material properties, such as Gibbs free energy and mechanical behavior.
  • Researchers can access and fine-tune the models on GitHub to accelerate discoveries in atomistic simulations.

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