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Researchers at Texas A&M have developed an algorithm that automates the process of determining key features of the Earth’s subterranean environment.
The highest-energy cosmic rays come from subatomic interactions within star clusters,not supernovae, say Michigan Tech physicists and collaborators.
The AI system, known as MENNDL, uses evolution to design optimal convolutional neural networks.
Scientists characterized how these states depend on local chemical composition.
New interfacial superconductor has novel properties that raise new fundamental questions and might be useful for quantum information processing.
An international team that includes Penn State physicists found detection of high-energy particle under Antarctic ice supports 60-year-old theory.
MIT researchers discover use of a novel electrolyte could allow advanced metal electrodes and higher voltages, boosting capacity and cycle life.
Michigan State University professor's Claudio Kopper and Nathan Whitehorn, lead IceCube’s Diffuse and Atmospheric Flux Working Group.
A new way to form self-aligned ‘color centers’ promises scalability to over 10,000 qubits for applications in quantum sensing and quantum computing.
Research partly conducted at the Advanced Photon Source helped scientists discover the composition of Earth’s first atmosphere.