Materials Labs
AI native R&D for next‑generation semiconductors
Materials Labs reduces the 24-month materials qualification cycle into days by merging graph‑neural compound screening, digital‑twin wafer growth, and fab‑readiness cost modeling in one workspace. Researchers move from discovery to production‑grade process flows, watching live dashboards that flag defect density, lattice stress, and lithography compatibility before a single crystal is grown. In pilot runs, Materials Labs converts multi‑million‑dollar trial‑and‑error loops into 48‑hour simulation sprints, unlocking faster, lower‑risk paths to market for everything from 5G RF chips to quantum devices.
Mateo Petel is the founder of Materials Labs and a master’s candidate in Computational Sciences at Stanford University. Previously ranked in the top 1 % of his cohort at École Normale Supérieure, Mateo has led projects at NASA’s Jet Propulsion Laboratory and Google X, publishing work that spans Earth‑observation deep learning to ultra‑low‑power biomedical signal processing. He is a Fulbright Scholar and recipient of the UN France Prize, distinctions that reflect both his technical depth and his commitment to high‑impact, mission‑driven engineering.
