Generative AI Shrinks Green Material Discovery From Years to Weeks

See how diffusion models and LLM agents are compressing sustainable material R&D cycles. For decades, discovering a new sustainable material looked like this: a researcher forms a hypothesis, synthesizes a…

Generate 2.2M Novel Materials: AI for Chemical Formulation Design

How Diffusion Models, VAEs, and Property-Conditioned Generators Are Inventing Molecules and Mixtures That Humans Would Never Propose In the last two years generative AI has stopped being a novelty in…

Compress Materials R&D 10x: GNoME, MatterGen, and A-Lab in 2026

Foundation models, self-driving labs, and LLM research agents — the full stack that compresses 10–20-year timelines into 1–2 years The pace of materials innovation is on a step change. DeepMind’s…