microsoft/mattersim
A deep learning atomistic model for simulating materials across elements, temperatures, and pressures.
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MatterSim is a deep learning atomistic model designed for computational materials science. It uses graph neural network architectures to predict material properties and behavior at the atomic scale. The model is trained on quantum mechanical simulation data to learn interatomic potentials and material properties across different chemical elements, temperature ranges, and pressure conditions. It enables researchers to perform large-scale atomistic simulations without relying exclusively on expensive quantum chemistry calculations.
Frequently asked
- What is microsoft/mattersim?
- A deep learning atomistic model for simulating materials across elements, temperatures, and pressures.
- Is mattersim open source?
- Yes — microsoft/mattersim is open source, released under the MIT license.
- What language is mattersim written in?
- microsoft/mattersim is primarily written in Python.
- How popular is mattersim?
- microsoft/mattersim has 570 stars on GitHub.
- Where can I find mattersim?
- microsoft/mattersim is on GitHub at https://github.com/microsoft/mattersim.