ML for discovery, generative models, inverse design, autonomy in labs, and reproducible pipelines.
ML for discovery, generative models, inverse design, autonomy in labs, and reproducible pipelines.
This track brings together research, product innovation, and commercial strategy around AI-driven Materials Research. Expect keynotes, panels, and curated networking with leaders from across materials R&D, manufacturing, and supply chains.
Submit your research
Interested in presenting on this theme? Send an abstract and join the conversation on stage.