MLExchange is a software framework designed to facilitate collaboration among researchers, provide ML solutions, and reduce the barriers to use ML tools.

Towards fully automated alignment and control of advanced optics system for APS-U beamlines

Argonne is using artificial intelligence to enable accelerated simulation-driven design and optimization of jet engine cooling schemes.

New data framework will enhance understanding of AI, provide new insights to apply AI techniques, and provide an environment to explore novel approaches to AI.

Argonne combines advances in AI with extreme and edge computing to unlock new opportunities in astrophysics.

Argonne’s 3D X-ray microscope employs computer vision to detect features of interest and capture and visualize data.

Argonne is leading an effort aimed at developing artificial neural representations of nuclear quantum-mechanical wave functions.

Argonne is working to understand the effectiveness of new AI accelerator systems for scientific machine learning applications.

Argonne is working on more efficient ways to understand the fundamental constituents of matter and the interactions among them.

Argonne is working to enhance the reliability of AI techniques applied to experimental data for the NEXT experiment.