Get the latest tech news
AI system learns from many types of scientific information and runs experiments to discover new materials
The “CRESt” AI platform learns from many types of scientific information and runs experiments to discover new materials. The system could generate solutions to energy problems that have plagued the materials science and engineering community for decades.
Compare that with human scientists, who work in a collaborative environment and consider experimental results, the broader scientific literature, imaging and structural analysis, personal experience or intuition, and input from colleagues and peer reviewers. The researchers used CRESt to explore more than 900 chemistries and conduct 3,500 electrochemical tests, leading to the discovery of a catalyst material that delivered record power density in a fuel cell that runs on formate salt to produce electricity. After the new experiment, we feed newly acquired multimodal experimental data and human feedback into a large language model to augment the knowledgebase and redefine the reduced search space, which gives us a big boost in active learning efficiency.”
Or read this on r/tech
