Argonne National Laboratory Launches Artificial Intelligence-Based Biology Projects
Carried out under the U.S. Department of Energy's Genesis Mission, the OPAL, IDeA, and MELT-REE projects aim to accelerate scientific discoveries.
The U.S. Department of Energy's Argonne National Laboratory is launching three new AI-backed projects to solve complex biology problems and accelerate scientific discoveries.
Transformation of Artificial Intelligence and Scientific Discovery
Funded by the U.S. Department of Energy's Genesis Mission, these initiatives place Argonne at the center of scientific transformation. The laboratory combines computing infrastructure, AI expertise, and autonomous laboratory capabilities.
Autonomous Biological Design with the OPAL Project
The OPAL project aims to establish infrastructure for autonomous laboratories across four national laboratories to independently conduct coordinated biological experiments. Dion Antonopoulos, Ian Foster, and Arvind Ramanathan are leading the project.
Enzyme Discovery and Biopolymer Optimization with IDeA
The IDeA project aims to significantly shorten enzyme design processes by developing AI agents that scan millions of articles, review databases, and compare molecular structures.
Rare Earth Element Extraction with MELT-REE
The MELT-REE project explores a biological alternative to traditional rare earth element extraction by utilizing microbes and bacteria to leach materials from mining waste and e-waste.