In the realm of energy storage, a team of researchers from the University of Oxford, the Rutherford Appleton Laboratory, and other institutions has been working on a novel approach to battery research that could significantly improve our understandin
AI-Powered Breakthrough: New Framework Revolutionizes Battery Degradation Studies Read More »
Researchers from the University of Science and Technology of China, led by Jun Li, have made significant strides in the field of quantum metrology, a technique that uses quantum mechanics to make highly precise measurements. Their work focuses on a p
Quantum Breakthrough: Noise-Resilient Metrology for Energy Sector Read More »
Researchers from the University of Hong Kong, led by Joey Chan and Huan Wang, have developed a novel approach to predict battery degradation across various chemistries and conditions. Their work aims to improve the safety, reliability, and efficiency
AI Breakthrough Predicts Battery Degradation Across Diverse Conditions Read More »
Researchers from the State Key Laboratory of Rail Traffic Control and Safety at Beijing Jiaotong University, led by Kunyu Wu, have developed a novel approach to improve radio wave propagation modeling in railway tunnels. This advancement could signif
Beijing Researchers Revolutionize Tunnel Radio Wave Modeling for Safer Railways Read More »
Researchers Jinzhou Xu, Yuanxin Zhuo, and Paola Tapia from the University of Technology Sydney have developed a new operational optimization strategy for energy storage systems (ESSs) in user-side microgrids. Their work, published in the journal Appl
UTS Researchers Revolutionize Microgrid Energy Storage with Cost-Cutting Strategy Read More »
California has once again positioned itself at the forefront of energy policy innovation, this time by becoming the first subnational entity to join the Global Energy Storage and Grids Pledge. Announced by Governor Gavin Newsom on January 2, 2026, the commitment targets a tripling of global energy storage capacity to 1,500 GW, doubling grid investment, and deploying 25 million kilometers of new transmission lines by 2030. This move not only underscores California’s leadership in clean energy but also signals a seismic shift in how states and regions can drive international climate and energy agendas—even as federal policies fluctuate.
Researchers from the University of Texas at Austin, including Abdullah Al Asif, Sixing Yu, Juan Pablo Munoz, Arya Mazaheri, and Ali Jannesari, have developed a novel approach to improve federated learning in diverse edge environments. Their work, tit
UT Austin’s SuperSFL Revolutionizes Federated Learning for Energy Efficiency Read More »
Researchers Jie Yang and Wei Tan, affiliated with the University of Michigan, have developed a comprehensive computational model to study the fracture behavior of silicon particles used in lithium-ion batteries. Their work, published in the Journal o
Breaking Barriers: Michigan Researchers Model Silicon Fractures for Better Batteries Read More »
Researchers from the University of Manchester, led by Charlie Fynn Perkins, Marcus Webb, and Fred J. Currell, have developed a novel computational method to simulate radiation chemistry processes. Their work, published in the Journal of Computational
A team of researchers from Aalborg University, including Qingzuo Meng, Pengfeng Lin, Yujie Wang, Miao Zhu, Amer M. Ghias, Syed Islam, and Frede Blaabjerg, has developed a new power management strategy for hybrid AC/DC microgrids with distributed ener
Revolutionary Power Management for Hybrid Microgrids Read More »
