Physics | Argonne National Laboratory

Machine learning techniques enhance the discovery of excited nuclear levels in sulfur-38

In a study published in Physical Review C, researchers used machine learning-assisted analysis to determine the unique quantum energy levels—a “fingerprint” formed through the rearrangement of the protons and neutrons—in the nucleus of sulfur-38.
Tiny diamond mirrors could smooth out already revolutionary x-ray lasers
David J Novak
High-Energy Physics, Nuclear Physics, and Fusion Energy Science

AI techniques applied to physics can enhance our understanding the basic components of matter, help reveal the nature of space and time, and enable the design of successful fusion power plants.
Fundamental Algorithmic Research for Quantum Computing (FAR-QC)

Advancing quantum computing capabilities through performance analysis and algorithm development
Zain Hamid Saleem
Argonne named ‘Historic Site’ for work of famed physicist

Argonne was recently named a historic physics site by the American Physical Society in recognition of the groundbreaking work of former Argonne physicist and Nobel laureate Maria Goeppert Mayer.
Quantum network to test unhackable communications

National labs, UChicago to create one of the country’s longest fiber-optic links to “teleport” information
Physics of pizza
Hyeondeok Shin

Physicist & computational scientist with expertise in chemistry, condensed matter physics, & computational physics. He specializes in methods & applications of Density Functional Theory, Quantum Chemistry, & Quantum Monte Carlo for functional materials.

Filter Results