MatterSim
AI Models MIT (Free)
About
Deep learning atomistic foundation model across elements, temperatures, and pressures. Trained on Materials Project and Alexandria datasets with 89 elements (H-Ac) for energy, force, and stress predictions with DFT-level accuracy.
Citation
Yang, H. et al. MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures. arXiv:2405.04967 (2024). https://arxiv.org/abs/2405.04967
Frequently Asked Questions
What is MatterSim?
MatterSim is a ai models application available in the Paramus App Store. Deep learning atomistic foundation model across elements, temperatures, and pressures. Trained on Materials Project and Alexandria datasets with 89 elements (H-Ac) for energy, force, and stress predictions with DFT-level accuracy.
Is MatterSim free to use?
Yes. MatterSim is distributed under the MIT (Free) license and is available at no cost through the Paramus App Store.
How do I install MatterSim?
MatterSim is installed through Paramus Chemistry OS, an on-premise Windows platform for computational chemistry. Open the Paramus App Store in your local installation and select MatterSim for one-click deployment.
What type of application is MatterSim?
MatterSim belongs to the “AI Models” category in the Paramus App Store. It runs on Paramus Chemistry OS and can also be accessed through Paramus Cloud for supported workflows.
What platform does MatterSim run on?
MatterSim runs on Paramus Chemistry OS, a Windows-based on-premise platform that provides local compute power for demanding simulations. It requires a Paramus OS installation with appropriate hardware resources.
Can MatterSim be automated or integrated with AI workflows?
Yes. MatterSim is available as part of the Paramus ecosystem which supports MCP (Model Context Protocol) tools for AI-driven automation. This enables integration with large language models and automated research pipelines.
How should I cite MatterSim in publications?
The recommended citation for MatterSim is: Yang, H. et al. MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures. arXiv:2405.04967 (2024). https://arxiv.org/abs/2405.04967