About Critical Minerals
From regional screening to prospect-scale targeting, our AI integrates geophysics, geochemistry, and remote sensing to reveal patterns linked to mineral systems and favorable geology.
- Anomaly detection and ranking
- Predictive mapping and prospectivity modeling
- Structural and lithologic interpretations
- Uncertainty quantification, risk assessment, and decision support
Need deeper intel?
Explore the Critical Minerals Resource Hub
Access curated installation notes, regulatory frameworks, funding levers, and DOE roadmap summaries in one place.
Visit the Resource HubExplore EnviCloud
Explore related demos
Try interactive public demos that bring these ideas to life.
Related publications
- Randomization in Characterizing the Subsurface (2018) — Y. Lin et al. — SIAM News
- Unsupervised Phase Mapping of X-ray Diffraction Data by Nonnegative Matrix Factorization Integrated with Custom Clustering (2018) — V. Stanev et al. — Nature Computational Materials
Related presentations
- Machine Learning Estimates of Geothermal and Critical Mineral Prospectivity of the Great Basin (2026) — V.V. Vesselinov, T. Kliphuis — Stanford Geothermal Workshop