See also stories tagged with Nanoscopic scale
A new nuclear magnetic resonance (NMR) microscope gives researchers an improved instrument to study fundamental physical processes. It also offers new possibilities for medical science—for example, to better study proteins ...
Most people are familiar with uranium as a fuel for nuclear power plants. And while that's the most common application, this element is also used in many other fields, such as dyes, medical devices, and weapons. Scientists ...
A team of researchers led by the University of Massachusetts Amherst has recently found an exception to the 200-year-old law, known as Fourier's Law, that governs how heat diffuses through solid materials.
(Phys.org)—Scientists have simulated the explosion of a modified buckminsterfullerene molecule (C60), better known as a buckyball, and shown that the reaction produces a tremendous increase in temperature and pressure within ...
Late last year, Caltech researchers revealed that they had developed a new fabrication technique for printing microsized metal parts containing features about as thick as three or four sheets of paper.
In an experiment akin to stop-motion photography, scientists have isolated the energetic movement of an electron while "freezing" the motion of the much larger atom it orbits in a sample of liquid water.
Researchers at Columbia Engineering and Montana State University report today that they have found that placing sufficient strain in a 2-D material—tungsten diselenide (WSe2)—creates localized states that can yield single-photon ...
Material scientists at the Nano/Bio Interface Center of the University of Pennsylvania have demonstrated the transduction of optical radiation to electrical current in a molecular circuit. The system, an array of nano-sized ...
UCLA scientists James Gimzewski and Adam Stieg are part of an international research team that has taken a significant stride toward the goal of creating thinking machines.
University of Pennsylvania engineers have developed a new chip that uses light waves, rather than electricity, to perform the complex math essential to training AI. The chip has the potential to radically accelerate the processing ...
