Researchers Francesco Becattini, Daniele Roselli, and Xin-Li Sheng from the University of Florence have recently published a study in the journal Physical Review D, exploring the dissipative corrections to the particle momentum spectrum of a decoupli
Quantum Insights: Energy Distribution in Relativistic Fluids Unveiled Read More »
In the rapidly evolving landscape of artificial intelligence and data centers, researchers Qi He and Chunyu Qu from the University of California, Berkeley, are exploring innovative ways to address the growing challenges of energy consumption and cool
AI Data Centers Go Green: Waste-to-Energy Boosts Cooling & Grid Resilience Read More »
In a collaborative effort, researchers Cody Carr, Renyue Cen, Brian Fleming, Sophia Flury, Stephan McCandliss, Sally Oey, and Allison Strom from various institutions have delved into the intricate processes of ionizing radiation escape from galaxies.
Unveiling Galaxy Secrets: UV Breakthroughs for Fusion Energy Read More »
In the realm of energy and physics research, a team of scientists from various institutions, including Yang Yu, Guan-Sen Wang, Bo Zhang, Tian-Peng Tang, Bing-Yu Su, and Lei Feng, has been exploring the intriguing world of dark matter. Their latest st
Scientists Probe Dark Matter’s Secrets, Opening New Frontiers in Energy Research Read More »
In a significant stride towards advancing AI applications in the energy sector, a team of researchers from the University of Michigan has introduced a novel approach to AI for physical systems, particularly focusing on nuclear reactor control. The te
Michigan Team Pioneers AI for Safer Nuclear Reactor Control Read More »
Researchers Hai Duong Nguyen and Xuan-The Tran, affiliated with the University of Sydney, have developed a novel deep learning framework called ECG-RAMBA that aims to improve the generalization of electrocardiogram (ECG) classification models across
Sydney Researchers’ ECG-RAMBA Framework Revolutionizes Energy Industry Monitoring Read More »
Researchers from the Nuclear physics and Multi-Messenger Astrophysics (NMMA) collaboration, led by P. Singh and including scientists from various institutions, have conducted a study to better understand the origins and properties of certain cosmic e
Cosmic Explosions Unveil Energy Secrets: Gamma-Ray Bursts and Kilonovae Read More »
In the realm of energy research, understanding the intricate quantum dynamics of molecules is crucial for advancing technologies such as solar cells, catalysts, and energy storage systems. A team of researchers from the University of Tokyo, including
Revolutionary Molecular Model Unlocks Energy Tech Breakthroughs Read More »
In the realm of energy journalism, a recent study by researchers Jiada Huang, Hao Ma, Zhibin Shen, Yizhou Qiao, and Haiyang Li from the University of Science and Technology of China presents a significant advancement in predicting structural safety i
Revolutionary AI Model Boosts Solid Rocket Motor Safety Read More »
Researchers B. I. Min and J.-S. Kang from the Department of Physics at Pohang University of Science and Technology in South Korea have published a study in the Journal of Physical Chemistry Letters that sheds light on the unique thermal properties of
Korean Researchers Uncover Quantum Secrets of Water and Ice for Energy Innovations Read More »
