YC-backed startup Discovered Materials launches $1M AI challenge for five unsolved materials science problems

Discovered Materials, a months-old San Francisco startup in Y Combinator’s Spring 2026 batch, has announced a $1 million prize pool challenging AI models to solve five open problems in materials science. The problems include explaining cuprate superconductivity, predicting silicon–silicon dioxide interfaces, mapping grain structure to thermal properties, predicting light-induced material behavior changes, and improving Density Functional Theory. The company previously let frontier AI agents work autonomously on the problems for days with little progress. Discovered Materials also partners with chip giants on semiconductor materials and expects to produce industrially useful materials within a year.