Suppose the cleanest car on the road isn’t so clean in every location? That possibility prompted one of the most extensive ...

The global computer-aided engineering (CAE) market is forecast to grow from USD 12.05 billion in 2025 to USD 32.36 billion by 2035. This reflects a robust compound annual growth rate (CAGR) of 10.1% ...

Today, we’re joined by Dr. Shu Yang, a pioneering materials scientist at the University of Pennsylvania and one of National Geographic’s Extraordinary Changemakers. From elephant skin to snail mucus, ...

When two Boise State engineering students realized how much time was wasted digging through technical documents and datasheets, they didn’t just complain – they built a solution. Meet Chris Dagher (BS ...

The world of software engineering is undergoing a transformation—not one marked by drastic job losses or AI dominance, but a silent revolution where AI-assisted development is quietly enhancing ...

College of Chemical Engineering, Fuzhou University, Fuzhou 350116, PR China ...

College of Material Science and Chemical Engineering, Ningbo University of Technology, 201 Fenghua Road, Ningbo 315211, China Zhejiang Institute of Tianjin University, 201 Fenghua Road, Ningbo 315211, ...

Members of the Department of Government Efficiency have made their way into the National Science Foundation, as grants throughout the agency are being terminated. As part of the arrangement, Farritor ...

A team at the University of Queensland (UQ), Australia, has set a new certified world record for solar cell efficiency using a promising and environmentally friendly technology. This could potentially ...

There are roof shapes and ratios that maximize heat retainment and energy efficiency and, interestingly, ancient Italian architects and builders seemed to know it, too. While serving as a visiting ...

Researchers have found a way to dramatically reducing energy loss and boosting efficiency perovskite solar cells by incorporating rubidium using lattice strain -- a slight deformation in the atomic ...

Abstract: To quantitatively analyze the impact of turbine efficiency characteristics on economic benefits of hydropower plants, this work first establishes a model using the deeplearning neural ...