In the realm of energy and particle physics, researchers like Eva dos Santos from the Pierre Auger Observatory are delving into the mysteries of ultra-high-energy cosmic rays. These cosmic rays, with energies exceeding 10^18 eV, interact with the Ear
Cosmic Rays Unveil Energy Secrets: Pierre Auger Observatory’s Breakthrough Read More »
In the realm of natural language processing (NLP), a team of researchers from the University of Stuttgart, including David Schulmeister, Valentin Hartmann, Lars Klein, and Robert West, has introduced a novel approach to developing efficient language
TiME Models: Revolutionizing Energy-Efficient NLP for the Energy Sector Read More »
In the realm of quantum computing and nuclear physics, a trio of researchers has made a significant stride. Bhoomika Maheshwari, Paul Stevenson, and P. Van Isacker, affiliated with the University of York and the University of Lyon, have developed a n
Quantum Leap: Simulating Nuclear Systems with Quantum Computers Read More »
In the realm of nuclear and particle physics, understanding the interactions between particles is crucial for various applications, including energy production and safety. Researchers like Anil Khachi from the Indian Institute of Technology Roorkee a
Unraveling Neutron-Alpha Scattering: A Leap Forward for Nuclear Energy Read More »
Researchers Ercan Erkalkan, Vedat Topuz, and Ayça Ak from the Department of Computer Engineering at Middle East Technical University in Ankara, Turkey, have developed a novel method for tracking wildfire perimeters using small, lightweight unmanned a
Drones Deployed for Smarter Wildfire Tracking in Energy Sector Read More »
Researchers from the University of South Florida, the University of Warsaw, and the University of Massachusetts Boston have developed a new framework for simulating energy dissipation in large-scale quantum systems, which could have significant impli
Breakthrough in Quantum Simulations: A Boon for Energy Industry Read More »
Researchers from ETH Zurich, including Dong Liu, Juan S. Giraldo, Peter Palensky, and Pedro P. Vergara, have developed a new approach to voltage regulation in distribution networks using distributed reinforcement learning and local smart meter data.
Researchers from the National University of Defense Technology in China have developed a new compiler framework called FlashFuser, designed to optimize the performance of deep learning workloads on modern GPUs. The team, led by Ziyu Huang and Yangjie
FlashFuser: Boosting Deep Learning Efficiency for Energy Innovations Read More »
In the realm of energy storage and materials science, a team of researchers from various institutions, including Argonne National Laboratory, Massachusetts Institute of Technology, and Northwestern University, has made significant strides in understa
Revolutionizing Energy Storage: Unraveling Ionic Diffusion Secrets Read More »
Researchers from the University of Science and Technology of China, along with collaborators from the National University of Singapore and the University of Tokyo, have made significant strides in the field of quantum technologies. Their work, publis
Quantum Leap: Hybrid System Advances Energy Tech Read More »
