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…
How generative diffusion models, LLM agents, and self-reflective discovery frameworks are turning static material repositories into active innovation engines For most of the past decade, material databanks were passive reference…