Page 8 - Cornell Engineering News Today

In a fast-fashion, throw-clothes-away world, textile expert Juan Hinestroza (Human Ecology) and a group of scientists have new ways to recycle wasted polyester into new useful products.

Concrete creates resilient floors, highway bridges and city sidewalks, but its usefulness comes at a cost: Concrete production causes more than 8% of carbon emissions, nearly four times as much as the aviation industry.Greeshma Gadikota, the Croll Se

Greeshma Gadikota, associate professor of engineering, has gathered a team to help capture carbon dioxide in the concrete-making process as they aim to create low-carbon construction materials from it.

Unused solar, wind and hydroelectric power in the U.S. could support the exponential growth of transactions involving non-fungible tokens, Cornell Engineering researchers have found.

Concrete is useful for making resilient floors, highway bridges, and city sidewalks, but it comes at a cost: Concrete production accounts for more than 8% of carbon emissions, about four times that of the aviation industry.

Unused solar, wind, and hydroelectric power in the U.S. could support the exponential growth of transactions involving non-fungible tokens (NFTs), Cornell Engineering researchers have found.

With the use of integration of high-powered X-Rays, machine learning, and phase-retrieval algorithms, Cornell scientists showed the intricate nanotextures in thin-film materials, providing researchers with a novel, streamlined method to examining likely candidates for microelectronics and quantum computing, among other applications.

Cornell is in charge of a new $11.3 million center devoted to human-AI collaboration using mathematics as a common language, with artificial intelligence prepared to aid in fundamental scientific discoveries that will change the world.

Using a combination of high-powered X-rays, phase-retrieval algorithms and machine learning, Cornell researchers revealed the intricate nanotextures in thin-film materials, offering scientists a new, streamlined approach to analyzing potential candidates for quantum computing and microelectronics, among other applications.

Using a combination of high-powered X-rays, phase-retrieval algorithms and machine learning, Cornell researchers revealed the intricate nanotextures in thin-film materials, offering scientists a new, streamlined approach to analyzing potential candidates for quantum computing and microelectronics, among other applications.