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 »
In the realm of energy efficiency and wireless communication, a team of researchers from Northeastern University, including Matteo Bordin, Andrea Lacava, Michele Polese, Francesca Cuomo, and Tommaso Melodia, has developed a framework that leverages D
Reinforcement Learning Revolutionizes 5G Energy Efficiency 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 University of Shanghai for Science and Technology, including Yunyao Qi, Heng Lin, Quanfeng Lu, Dong Ruan, and Gui-Lu Long, have published a study that presents a novel approach to creating a mobility edge in a disorder-free syste
Shanghai Researchers Unveil Novel Mobility Edge in Disorder-Free Systems 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 »
Researchers from the University of Florida, led by Sanjay Ranka, have developed a new tool aimed at improving traffic management in urban areas. The team, which includes Rahul Sengupta, Nooshin Yousefzadeh, Manav Sanghvi, Yash Ranjan, Anand Rangaraja
Florida Team’s BigSUMO Revolutionizes Urban Traffic & Energy Management 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 »
In the realm of energy research, understanding the behavior of complex systems is crucial for optimizing processes and improving efficiency. A team of researchers from the Max Planck Institute for Dynamics and Self-Organization in Germany has made st
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 »
Researchers Jonas Christoffer Villumsen and Yusuke Sugita from the University of Copenhagen have been exploring ways to make artificial intelligence (AI) more energy-efficient, particularly for use in mobile devices and edge machines. Their work focu
Revolutionizing AI: Energy-Efficient Binary Neural Networks for Edge Devices Read More »
