> For the complete documentation index, see [llms.txt](https://docs.materialsproject.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.materialsproject.org/services/ml-and-ai-applications/matbench-discovery.md).

# Matbench Discovery

[Matbench Discovery](https://matbench-discovery.materialsproject.org/) is a platform and framework for evaluation for machine learning models simulating high-throughput materials discovery. See its documentation and paper \[1] for an overview of the methods used to assess ML models.

## References

\[1] J. Riebesell, R. E. A. Goodall, P. Benner, Y. Chiang, B. Deng, G. Ceder, M. Asta, A. A. Lee, A. Jain, and K. A.\
Persson, *Nature Mach. Intell.* vol. 7, pp. 836–847, yr. 2025. ([DOI](https://doi.org/10.1038/s42256-025-01055-1))