Future Fuel

In the realm of energy journalism, a recent study has emerged that, while primarily focused on cosmology, holds potential implications for our understanding of energy dynamics in the early universe. The research, led by Fan Zhang, Hang Diao, Bohua Li

In the realm of advanced energy research, a team of scientists from the IFMIF-DONES Spain consortium, led by Guillermo Rodriguez-Llorente, has made significant strides in developing intelligent control systems for next-generation particle accelerator

Researchers from the Institute of High Energy Physics in China have developed a new plastic scintillator detector that can distinguish between fast neutrons, thermal neutrons, and gamma rays in mixed radiation fields. This technology could have signi

In the rapidly evolving landscape of artificial intelligence, researchers Kester Clegg, Richard Hawkins, Ibrahim Habli, and Tom Lawton from the University of York are exploring ways to ensure the safety and reliability of large language models (LLMs)

Researchers Dereje Shenkut and Vijayakumar Bhagavatula from the University of Texas at Austin have developed a novel approach to improve the safety of autonomous driving systems, particularly for vulnerable road users like pedestrians. Their work, ti

In the realm of energy journalism, a recent study conducted by researchers from the National Astronomical Observatories of the Chinese Academy of Sciences, including Yang Su, Xin Liu, and their colleagues, has shed light on the intricate dynamics of

Researchers from Kyoto University, the Paul Scherrer Institute, and other institutions have made significant strides in understanding the superconducting properties of the compound Sr$_2$RuO$_4$ using a technique called muon spin rotation (μSR). This

In the realm of nuclear physics, a group of researchers from the Helmholtz-Zentrum Dresden-Rossendorf and Technische Universität Dresden in Germany, along with a colleague from the University of Georgia, have been delving into the intricacies of thre

Yu Chen and Hongwei Lin, researchers from the University of California, Berkeley, have developed a novel deep learning approach to enhance the practical application of topological data analysis in various fields, including the energy sector. Their wo