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From the water that comes out of the faucet to the chemical reactions in jet engines that propel planes, turbulence affects our everyday lives. Researchers at Georgia Tech are studying the complex physics of turbulence in simplified settings that could help us better understand nature and engineering.

Hydrogen-burning internal combustion engines offer great promise in the fight against climate change because they are powerful without emitting any earth-warming carbon. They can power heavy-duty trucks and buses and are suited for off-road and agricultural equipment and backup power generators, providing cleaner alternatives to diesel engines.

Skoltech researchers and their colleagues from the University of Granada, Spain, have determined the most efficient ways to reinforce vaults and domes in architecture. The team compared how well various traditional and unconventional patterns of stiffening ribs enable a structure to withstand both evenly distributed and asymmetric loads.

A new fabrication technique for substantially enhancing the prospects of commercializing perovskite solar cells through improved stability, reliability, efficiency and affordability is underway at City University of Hong Kong (CityUHK).

In recent years, roboticists have developed a wide range of systems designed to tackle various real-world tasks, ranging from completing household chores to delivering packages or finding target objects in delineated environments.

Multimaterial 3D printing enables makers to fabricate customized devices with multiple colors and varied textures. But the process can be time-consuming and wasteful because existing 3D printers must switch between multiple nozzles, often discarding one material before they can start depositing another.

Alaska geologist Mark Myers hopes that underground reserves of hydrogen could fuel a new state energy industry.

The process of testing new solar cell technologies has traditionally been slow and costly, requiring multiple steps. Led by a fifth-year Ph.D. student, a Johns Hopkins team has developed a machine learning method that promises to dramatically speed up this process, paving the way for more efficient and affordable renewable energy solutions.

A compressor hums, an air conditioning system rattles, a railway carriage chassis clatters, sending reverberations through its passengers. Vibrations are not only annoying but can also be harmful. Over the long term, they can destroy materials and machines and shorten their service lives. What's more, the noise generated by vibrations is harmful to human health and well-being.

Made from renewable materials like biomass and agricultural waste, sustainable aviation fuel has enormous potential to decarbonize the aviation industry. But widespread adoption has yet to take off.

Space weather forecasters say a severe solar storm heading to Earth could stress power grids even more as the U.S. deals with major back-to-back hurricanes.

In general, tool failure contributes about 7% to the down time of machine centers. And more severely, tool failure will reduce the machining quality of parts, and even damage the machine. Therefore, Tool wear condition monitoring (TWCM) is an important part of intelligent manufacturing, and has been a research hotspot since 1968.

Form Energy, a company that is beginning to produce a longer-lasting alternative to lithium batteries, hit a milestone Wednesday with an announcement of $405 million in funding.

A pair of electrical engineers at Distance University of Madrid, working with a colleague from Mision Critica-Data Center, ZFB Technology Services, in Columbia, has developed a methodology for generating electricity from man-made wind sources using small turbines.

Using mechanisms inspired by nature to create new technological innovations is a signature of one Virginia Tech research team. The group led by Associate Professor Michael Bartlett has created an octopus-inspired adhesive, inspired by the shape of octopus suckers, that can quickly grab and controllably release challenging underwater objects.

Neural networks have a remarkable ability to learn specific tasks, such as identifying handwritten digits. However, these models often experience "catastrophic forgetting" when taught additional tasks: They can successfully learn the new assignments, but "forget" how to complete the original. For many artificial neural networks, like those that guide self-driving cars, learning additional tasks thus requires being fully reprogrammed.

A recently developed electronic tongue is capable of identifying differences in similar liquids, such as milk with varying water content; diverse products, including soda types and coffee blends; signs of spoilage in fruit juices; and instances of food safety concerns.

Artificial Intelligence has learned to master language, generate art, and even beat grandmasters at chess. But can it crack the code of abstract reasoning—those tricky visual puzzles that leave humans scratching their heads?

John J. Hopfield and Geoffrey E. Hinton received the Nobel Prize in physics on Oct. 8, 2024, for their research on machine learning algorithms and neural networks that help computers learn. Their work has been fundamental in developing neural network theories that underpin generative artificial intelligence.

Industries such as chemical manufacturing, fertilizer production and hydrogen generation could significantly cut emissions, improve efficiency and lower costs using a newly developed electrified reactor as an alternative to high-temperature industrial processes.