Engineering journal reveals Global Top 10 Engineering Achievements 2023


Engineering journal reveals Global Top 10 Engineering Achievements 2023 On December 20, 2023. The Global Top Ten Engineering Achievements 2023 are presented below: 1. ChatGPT; 2. China's space station; 3. The exascale supercomputer; 4. Baihetan Hydropower Station; 5. The Double Asteroid Redirection Test (DART); 6. The RTS,S/AS01 malaria vaccine; 7. The Harmony operating system (OS); 8. The Spot and Atlas robots; 9. The lithium-ion power battery; 10. Unmanned aircraft. Read more: https://doi.org/10.1016/j.eng.2023.11.008

Comments

Post a Comment

Popular posts from this blog

Groundbreaking research reveals the mechanism behind Buxu Tongyu granule in alleviating myocardial ischemia

Myocardial ischemia, a condition characterized by inadequate blood supply to the heart muscle, affects millions of people worldwide. While the focus of treatment has traditionally been on opening blocked arteries, recent research has shed light on the role of abnormalities in coronary microvessels and vascular smooth muscle cells (VSMCs) in myocardial ischemia. A new study investigating the pharmacological effects of Buxu Tongyu (BXTY) granule, a traditional Chinese medicine, has shown promising results in alleviating myocardial ischemia by activating the soluble guanylate cyclase (sGC)–3′,5′-cyclic guanosine monophosphate (cGMP)–protein kinase G (PKG) signaling pathway in VSMCs. Myocardial ischemia occurs when the heart muscle does not receive enough oxygen due to inadequate blood supply from the coronary arteries. This condition is primarily caused by coronary artery spasm, atherosclerosis, cardiomyocyte hypertrophy, and cardiomyopathy. BXTY has long been used in traditional Chinese ...
Read more

Breaking New Ground: Physics-Informed Deep Learning Transforms Structural Engineering

Image
In a groundbreaking development, researchers have introduced a cutting-edge method for real-time structural response prediction, poised to redefine the landscape of disaster prevention and building resilience. The innovative approach combines physics-informed deep learning with a data-driven training strategy, revolutionizing the accuracy and efficiency of structural response prediction. Detailed structural diagram of the Phy-Seisformer model. This novel method, known as the Phy-Seisformer model, incorporates the physical information of a structure into its predictive capabilities, enabling higher-precision forecasts. Through extensive experimentation on various building structures, including masonry and reinforced concrete, the method has demonstrated unparalleled accuracy and exceptional computational speed, outperforming traditional finite element calculations by at least 5000 times. The implications of this research are far-reaching, offering a potential paradigm shift in post-eart...
Read more