Since about 2015, Rafael Gómez-Bombarelli has pioneered combining machine learning, generative AI, and physics-based simulations for materials design, successfully producing new compounds for batteries, catalysts, and OLEDs. His work marks a significant shift towards AI-enhanced scientific discovery workflows.
He anticipates a second inflection point where multimodal models combining language, structural data, and synthesis recipes enable advanced reasoning about materials and accelerate research productivity. His startups and advisory roles bridge AI advances with practical applications, aiming to build a scientific superintelligence platform for chemistry and materials science industries.
Source & further reading
Accelerating science with AI and simulations ↗Source published 2026-02-12. This report was prepared with AI assistance from the linked primary-source material. Claims and limitations should be checked against the original announcement or research.