Nuclear

In the realm of high-energy physics, a team of researchers from Central China Normal University, including Xu-Fei Xue, Zi-Xuan Xu, Wei Dai, Jiaxing Zhao, and Ben-Wei Zhang, has made significant strides in understanding the behavior of particles in th

Researchers from the University of Chinese Academy of Sciences, led by Handing Xu and including Zhenguo Nie, Tairan Peng, Huimin Pan, and Xin-Jun Liu, have developed a novel approach to enhance the quality of endoscopic videos in real-time. Their wor

Researchers from the Institute of Modern Physics at the Chinese Academy of Sciences, led by J. L. Wang, have published a study in the journal Physical Review C that sheds light on the exotic behavior of proton-rich nuclei beyond the proton drip line.

Researchers from the Institute of Theoretical and Applied Electrodynamics at the Russian Academy of Sciences, including M. Reiter, D. Solovyev, A. Bobylev, D. Glazov, and T. Zalialiutdinov, have published a study on the thermal one-loop self-energy c

In the realm of energy and transportation, ensuring the smooth and safe operation of high-speed trains is paramount. A team of researchers from the School of Mechanical Engineering at Beijing Jiaotong University, led by Zhenhao Li, Xu Cheng, and Yi Z

In the realm of energy journalism, it’s not often that we delve into the world of virtual try-on and extended reality technologies. However, a recent advancement in this field by researchers Rong Wang, Wei Mao, Changsheng Lu, and Hongdong Li from the

In the realm of nuclear physics, researchers are continually pushing the boundaries of our understanding, with implications that can sometimes extend to the energy sector. Among these researchers is Chunjian Zhang, whose work at the Lawrence Berkeley

Denis S. Grebenkov and Yilin Ye, researchers from the French National Centre for Scientific Research (CNRS), have published a study in the Journal of Physics A: Mathematical and Theoretical that explores the control of population growth in systems wh

Researchers from the Max Planck Institute for Plasma Physics, including M. C. L. Morren, P. Mulholland, and their colleagues, have developed a new method to evaluate microinstabilities in magnetic confinement fusion devices. Their work, published in

Researchers from the University of California, Berkeley, and the University of Texas at Austin have developed a new data scaling technique that significantly improves the performance of deep learning models in simulating complex diffusion-reaction sy