When people think about fiber optic cables, it's usually about how they're used for telecommunications and accessing the internet. But fiber optic cables—strands of glass or plastic that allow for the transmission of light—can ...
Foams are an essential component of many different drinks and foods: from a frothy head of beer to coffee crema, bread and ice cream. Despite their ubiquity, little is actually known or understood about these highly complex ...
Half-metals are unique magnetic compounds that have been attracting interest in the development of mass-storage technologies. Some of the materials in the family of Heusler alloys were predicted to have a half-metallic nature, ...
So-called "infinite-layer" nickelate materials, characterized by their unique crystal and electronic structures, exhibit significant potential as high-temperature superconductors. Studying these materials remains challenging ...
A dry material makes a great fire starter, and a soft material lends itself to a sweater. Batteries require materials that can store lots of energy, and microchips need components that can turn the flow of electricity on ...
Researchers have chemically linked 2D materials using a molecular "velcro," resulting in a device with improved optoelectronic properties. The device, made of palladium nanosheets covalently bonded with MoS2, shows an enhanced ...
Two-dimensional (2D) van der Waals are made of atomically thin layers, held together by weak van der Waals forces. These materials have been the focus of numerous studies, as their unique properties make them ideal for studying ...
A new method based on optical tweezers can measure viscoelasticity of biological materials in a simpler and more versatile way. In an article published in Nature Nanotechnology, the researchers report three novel results ...
In a recent study, rare wooden structures from the Roman Empire were investigated in a wide range of ways using NMR methods. These methods, widely known for their use in hospital MRI scans to produce detailed images of the ...
Researchers at Lawrence Livermore National Laboratory (LLNL) have developed a new approach that combines generative artificial intelligence (AI) and first-principles simulations to predict three-dimensional atomic structures ...
