Nuclear

In the realm of nuclear physics, a team of researchers from the University of Washington, including Ibrahim Abdurrahman, Andrzej Makowski, Guillaume Scamps, Kyle Godbey, and Piotr Magierski, has been delving into the intricate dynamics of nuclear rea

Researchers from the University of Science and Technology of China, led by Shuao Jia, have developed a new optimization framework called FADiff that aims to improve the efficiency of deep neural networks (DNNs) on tensor accelerators. Tensor accelera

Researchers Wolfgang Bentz and Ian C. Cloët, affiliated with Argonne National Laboratory, have recently published a study that delves into the intricate world of nuclear matter and its implications for understanding energy-related phenomena. Their wo

In the realm of particle and nuclear physics, a team of researchers led by Xurong Chen from the Institute of Modern Physics at the Chinese Academy of Sciences, along with colleagues from various institutions including the University of Science and Te

In the realm of energy journalism, understanding the intricacies of electricity markets is crucial. A team of researchers from the University of Flensburg, including Jorge Sánchez Canales, Alice Lixuan Xu, Chiara Fusar Bassini, Lynn H. Kaack, and Lio

In the realm of high-energy physics, researchers are continually pushing the boundaries of our understanding, with implications that often ripple out to other sectors, including energy. Among these researchers are Jayita Lahiri, Tania Robens, and Krz

In the realm of energy and particle physics, a team of researchers from CERN, including Andrea Del Vecchio, Jan Eysermans, Loukas Gouskos, George Iakovidis, Alexis Maloizel, Giovanni Marchiori, and Michele Selvaggi, have been exploring the potential

In the realm of nuclear physics, a team of researchers from the University of Chinese Academy of Sciences, including Pei Li, Kai-Jia Sun, Bo Zhou, and Guo-Liang Ma, have been exploring the intricate world of nuclear structure using relativistic heavy

In the realm of particle physics, a trio of researchers from the University of Zurich—Ilaria Brivio, Ramona Gröber, and Konstantin Schmid—have delved into the complexities of Higgs boson pair production, a process that could offer valuable insights i

In the realm of energy data analysis, accurate time series forecasting is crucial for efficient grid management, demand prediction, and renewable energy integration. Researchers Ganeshan Niroshan and Uthayasanker Thayasivam from the University of Tec