From energy materials to antimicrobial peptides, Argonne’s Robotic Autonomous Platforms for Innovative Discovery labs are testing how AI-driven, around-the-clock research could transform the pace of scientific discovery.
The new hybrid framework aims to balance detail, spatiotemporal coverage, and physical interpretability in city-scale weather and environment predictions.
Built with support from Aurora and the ALCF Inference Service, ChemGraph brings AI agents and high performance computing together to automate complex chemistry workflows.
Argonne researcher, Jan Hückelheim, and collaborators earned a Distinguished Artifact award at OOPSLA for Phocus, a new method that improves the analysis and verification of complex scientific computing programs.
This year researchers look to “Connect the Dots” at ISC. Argonne speakers will present research and key findings across topics like artificial intelligence, high-performance computing, and quantum.
