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Physics (APS)

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    Machine-Learned Particle Flow Proposed as Foundation Model for Collider Physics▼Machine-Learned Particle Flow as a Foundation Model for Collider Physics✉newsSciencePhysics2 h ago

    Physicists present Machine-Learned Particle Flow as a foundation model for collider physics, arguing that a single machine-learned representation of particle-flow information could serve as a reusable base for many collider analyses, much as foundation models do in other fields. The work, published in an APS journal, points toward more transferable AI tools for processing data from particle colliders.

  2. 2
    Three Penn Engineering Professors Named APS Fellows▼Three from Penn Engineering elected American Physical Society Fellows✉newsSciencePhysics10 h ago

    Three members of the University of Pennsylvania's School of Engineering and Applied Science have been elected Fellows of the American Physical Society, one of the highest honors in the physics community. Election recognizes outstanding contributions to physics research. The announcement was reported by Penn Today.

  3. 3
    Three Penn Engineering Faculty Named APS Fellows▼Three Penn Engineering Faculty Elected American Physical Society Fellows✉newsSciencePhysics22 h ago

    Three faculty members at the University of Pennsylvania's School of Engineering have been elected Fellows of the American Physical Society. Fellowship is a distinct honor conferred on physicists who have made notable contributions to research and the profession. The university announced the election, and the recognition highlights the strength of Penn Engineering's physical sciences research and its faculty's standing within the American physics community.

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    New Study Links Quantum Entropy to Dissipative Information Flows●Quantum dynamical entropy and dissipative information flows✉newsEnvironment2 d ago

    A physics paper published in an APS journal examines quantum dynamical entropy and how information flows dissipate in open quantum systems. The work connects measures of dynamical entropy to the loss and transfer of information in systems interacting with their environment, a topic relevant to quantum thermodynamics and quantum computing research. Discussion appears limited to the academic community so far.