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MatBench-Discovery: an open leaderboard for ML crystal stability
We launched a continuously updated leaderboard that ranks ML models on their ability to predict thermodynamic stability across a held-out test set derived from WBM. The site includes interactive Pareto plots, per-model error breakdowns, and downloadable prediction files. Source code is fully open and contributions to add new models are welcome via pull request.
Project
Type: Tool
PythonPymatvizNext.jsDuckDB
Posting as Anonymous Researcher