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a) Cross-sectional HAADF-STEM image of the 5 nm thick ScAlN grown on Mo template. (b) and (c) Nano-beam electron diffraction patterns captured from the Mo (b) and ScAlN (c) regions labeled in (a). (d) Magnified HAADF-STEM image showing the thickness of the ScAlN layer. (e) Schematic of the epitaxial relationship between wz-ScAlN and bcc-Mo. (f) EDS element maps for the ITO/ScAlN/Mo capacitor. Credit: Applied Physics Letters (2023). DOI: 10.1063/5.0136265
Ferroelectric semiconductors are contenders for bridging mainstream computing with next generation architectures, and now a team at the University of Michigan has made them just five nanometers thick—a span of just 50 or so atoms.
This paves the way for integrating ferroelectric technologies with conventional components used in ...
The nodes of this network were housed in two labs at the Campus Technik to the west of Innsbruck, Austria.
Trapped ions are one of the leading systems to build quantum computers and other quantum technologies. To link multiple such quantum systems, interfaces are needed through which the quantum information can be transmitted. In recent years, researchers led by Tracy Northup and Ben Lanyon at the University of Innsbruck’s Department of Experimental Physics have developed a method for doing this by trapping atoms in optical cavities such that quantum information can be efficiently transferred to light particles. The light particles can then be sent through optical fibers to connect atoms at different locations...
Because thermal conductivity in this class of materials can be changed with application of an external electric field at room temperature, they hold promise for use in heat switches for everyday applications, like collection of solar power. Photo: Getty Images
Scientists have found the secret behind a property of solid materials known as ferroelectrics, showing that quasiparticles moving in wave-like patterns among vibrating atoms carry enough heat to turn the material into a thermal switch when an electrical field is applied externally.
A key finding of the study is that this control of thermal conductivity is attributable to the structure of the material rather than any random collisions among atoms...
Electro-optic blocks cointegrated for the development of a neuromorphic photonic processor. Credit: Giamougiannis et al., doi 10.1117/1.AP.5.1.016004
“All things are numbers,” avowed Pythagoras. Today, 25 centuries later, algebra and mathematics are everywhere in our lives, whether we see them or not. The Cambrian-like explosion of artificial intelligence (AI) brought numbers even closer to us all, since technological evolution allows for parallel processing of a vast amounts of operations.
Progressively, operations between scalars (numbers) were parallelized into operations between vectors, and subsequently, matrices. Multiplication between matrices now trends as the most time- and energy-demanding operation of contemporary AI computational systems...
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