#materials-discovery

#materials-discovery

AI accelerated diagnostics, drug discovery, humanoid-robot development, extreme-weather forecasting, and materials discovery across healthcare, climate, robotics, and construction sectors in 2025.

LLM reasoning, accurate ML simulations, and robotic synthesis together enable automated discovery and creation of novel materials.

Periodic Labs raised $300 million to build AI-driven autonomous laboratories that automate materials discovery, aiming first to invent better, lower-energy superconductors.

An integrated platform (CRESt) combines large multimodal models, knowledge-assisted Bayesian optimization, and robotic automation to accelerate real-world materials discovery and high-throughput characterization.