Science

Advancements in the field of fusion energy experiments have taken a significant leap forward with a recent discovery made by a team of researchers at Lawrence Livermore National Laboratory (LLNL). Their findings, published in the journal Physical Review E, address the long-standing “drive-deficit” issue in indirect-drive inertial confinement fusion (ICF) experiments. This breakthrough has the
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Quantum chromodynamics (QCD) serves as the key theoretical framework to delve into the intricate forces at play within atomic nuclei, including the constituent protons and neutrons. One of the focal points of QCD research revolves around comprehending how quarks and gluons are encased within nucleons. Mathematically speaking, the internal forces within nucleons can be likened
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Oil spills, whether they occur underwater or on the surface, have devastating effects on the environment. Recent research conducted by the University of Illinois Chicago has shed light on the behavior of oil droplets from underwater spills, revealing a previously unknown pathway through which oil can spread pollution in the ocean. Traditionally, it was believed
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In the realm of modern analytical techniques, two technologies have emerged as game-changers: quantum entangled light sources and ultrafast stimulated Raman spectroscopy. These cutting-edge tools have revolutionized the way we study molecular properties and interactions, offering insights that were previously inaccessible. This article explores the innovative fusion of quantum entanglement and stimulated Raman spectroscopy, shedding
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The realm of quantum technology has reached new heights with a groundbreaking achievement in integrated photonics. Researchers have made significant progress in unlocking the potential of the frequency dimension within photon manipulation, paving the way for revolutionary advancements in quantum computing and secure communication networks. In a recent study published in Advanced Photonics, a collaboration
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The fusion of two nuclei is a highly complex process that is influenced by various factors. While the relative energy and angular momentum of the nuclei play a significant role, the evolution of their structures during the collision also has a considerable impact. Moreover, the quantum nature of the nuclei plays a crucial role in
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The field of machine learning and artificial intelligence is rapidly expanding, with applications ranging from computer vision to text generation. However, the increasing complexity of neural networks is raising concerns about their sustainability due to growing energy consumption and training times. This has led scientists to explore alternative approaches to make machine learning more energy-
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Recent research conducted by the HEFTY Topical Collaboration delved into the recombination of charm and bottom quarks into Bc mesons within the quark-gluon plasma (QGP). This investigation aimed to shed light on the kinetics of heavy-quark bound states within the expanding QGP fireball resulting from high-energy heavy-ion collisions. The researchers developed a transport model to
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