A Framework to Evaluate ML Crystal Stability Predictions & Avoid Costly Mistakes
Why are machine learning crystal stability predictions often unreliable? This detailed framework explains how to rigorously evaluate ML models for materials discovery, covering key metrics, data pitfalls, and actionable steps to ensure your predictions are trustworthy before costly lab experiments.