Researchers from the University of California, Berkeley, and the University of California, San Diego, have developed a new computational framework that could significantly improve the design and optimization of battery materials, particularly for gri
Revolutionizing Battery Design: AI-Powered Framework for Grid-Scale Sodium-Ion Batteries 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 »
Researchers from the University of Wisconsin-Madison, Lawrence Livermore National Laboratory, and the University of California, Riverside have developed a new method to identify defects in aluminum oxide, a material commonly used in the energy indust
Breakthrough: New Method Detects Defects in Aluminum Oxide for Quantum Tech 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 »
Max Beffert and Andreas Zell, researchers from the University of Tübingen in Germany, have developed new methods for real-time modeling of the aerodynamics of tethered unmanned aerial vehicles (UAVs), or drones. Their work, published in the journal “
German Researchers Revolutionize Tethered Drone Aerodynamics for Energy Sector Read More »
In the realm of medical diagnostics, a team of researchers from Microsoft Research Asia, led by Shengyi Hua and Jianfeng Wu, has developed a novel approach to pathological diagnosis that mimics clinical workflows more closely than previous models. Th
AI Pathologists: Microsoft’s Evidence-Seeking Model Revolutionizes Diagnostics Read More »
