Future Fuel

In the quest for sustainable and efficient energy, nuclear fusion stands as a promising frontier. Recent research published in the journal “Nuclear Fusion” and conducted by Yanjie Yang of the Institute of Plasma Physics at the Chinese Academy of Scie

In the quest for sustainable and clean energy, nuclear fusion stands as a promising candidate, and recent research published in the journal *Nuclear Fusion* and translated into English, sheds new light on the behavior of plasma in tokamak reactors. T

In the quest for safer and more efficient nuclear energy, researchers are exploring innovative materials that can withstand extreme conditions. A recent study published in the *Journal of Materials Science and Technology* sheds light on the oxidation

In a significant stride towards understanding rare cancers, researchers have unraveled the workings of a unique fusion protein driving solitary fibrous tumors (SFTs), a rare type of sarcoma. The study, published in the open-access journal “eLife” (wh

In a significant stride toward sustainable fusion energy, researchers at the Experimental Advanced Superconducting Tokamak (EAST) in China have developed a novel technique to extend the duration of high-performance plasma discharges, a critical miles

In the quest for clean, limitless energy, tokamak technology stands as a beacon of hope, and a new study is shedding light on its rapid evolution. Published in the journal *Energies*, the research, led by Horng Jinh Chang of Tamkang University in Tai

In the relentless pursuit of clean and sustainable energy, fusion reactors stand as a promising frontier, but they demand materials that can withstand extreme conditions. A recent study published in the journal *Disorder and Unpredictability* (former

In the relentless pursuit of precision oncology, a groundbreaking study led by Amr Elguoshy of the Biofluid Biomarker Center at Niigata University in Japan is harnessing the power of machine learning (ML) to decode the intricate metabolic signatures

In a significant stride towards enhancing welding quality and efficiency, researchers have developed a deep learning-based machine vision system that promises to revolutionize online monitoring and quality evaluation during multi-layer multi-pass wel