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Scientists from Los Alamos National Laboratory and Technical University of Darmstadt have developed a new AI framework to investigate the fundamental forces inside atomic nuclei.
By analyzing multimessenger signals from neutron stars—including collision data and X-ray emissions—the system can rapidly simulate the quantum interactions of extremely dense matter.
This approach links large-scale astrophysical observations with the microscopic behavior of protons and neutrons, offering new insight into elusive three-body nuclear forces.
The research shows how machine learning can replace slow traditional calculations, effectively turning the cosmos into a laboratory for studying the strong nuclear force and exotic states of matter.
