Researchers Fanghao Hu, Junhong Lin, Zhi Cai, and Bang Wang, affiliated with the School of Computer Science and Technology at the University of Science and Technology of China, have introduced a novel approach to community detection in multilayer net
Revolutionizing Energy Networks: New Layered Approach to Community Detection Read More »
Researchers Farhang Motallebi Araghi, Armin Abdolmohammdi, Navid Mojahed, and Shima Nazari from the University of California, Riverside, have developed a new approach to optimize the deployment of mobile fast chargers for off-road heavy equipment. Th
UC Riverside Researchers Revolutionize Mobile Fast Charging for Off-Road Equipment Read More »
In the rapidly evolving field of quantum computing, researchers from the University of Science and Technology of China, led by Yuxiang Liu, have developed a novel approach to optimize quantum circuit design for practical applications. Their work, tit
Chinese Researchers Revolutionize Quantum Circuit Design with QBSA-DQAS Read More »
Researchers from the University of Science and Technology of China and other international institutions have developed a novel method to monitor chemical reactions within nanoscale pores, which could have significant implications for the energy indus
Nanoscale Chemical Reactions Monitored with Precision, Boosting Energy Innovations Read More »
In the realm of high-energy physics, a team of researchers from the Université Paris-Saclay, including François Arleo, Djessy Bourgeais, Maxime Guilbaud, Greg Jackson, and Víctor Valencia Torres, have been delving into the intricacies of photon produ
LHC Insights Spark Energy Innovations in Particle Accelerator Tech Read More »
Researchers from the Université de Toulouse III – Paul Sabatier in France, including Johan Sebastian Suarez Sepúlveda, Edgar Hernando Sepúlveda-Oviedo, Bruno Jammes, and Corinne Alonso, have conducted a study comparing various optimization techniques
Bio-Inspired Optimization Boosts Lithium-Ion Battery Model Accuracy Read More »
The energy sector is on the brink of a paradigm shift as NextNRG Inc. unveils its Utility Operating System, an AI/ML platform that transforms traditional power grids into intelligent, decentralized networks. Announced on November 28, 2025, this breakthrough integrates solar generation, battery storage, smart microgrids, and wireless EV charging into a unified, AI-optimized energy management system. The innovation arrives at a critical juncture: global data center electricity demand is projected to double by 2026, and grid constraints threaten to stall AI advancement and renewable energy integration. NextNRG’s solution bypasses these bottlenecks by deploying smart microgrids in months, not years, offering immediate relief and setting a new standard for grid resilience and sustainability.
In the realm of nuclear physics and energy research, a recent study has shed light on the gamma-ray strength function of a specific isotope, gallium-72. This research, conducted by Sajid Ali, Rajkumar Santra, and Gautam Gangopadhyay, aims to refine o
Gamma-Ray Breakthrough: Gallium-72 Study Boosts Nuclear Energy Insights Read More »
In the realm of renewable energy and sustainable tourism, a notable case study has emerged from Taiwan, focusing on the energy supply of mountain huts. Researchers, including Hsien-Ching Chung from the National Taiwan University, have documented the
Taiwan’s Tianchi Lodge Powers Sustainably with Off-Grid Solar & LFP Batteries Read More »
In the realm of 3D modeling and texture generation, a team of researchers from the University of Hong Kong has introduced a novel framework called TEXTRIX that promises to overcome some of the longstanding challenges in the field. The researchers, le
TEXTRIX: Revolutionizing 3D Texture Generation for Energy & Beyond Read More »
