Category Technology/Electronics

Chemistry paves the way for Improved Electronic Materials

A thin layer of indium nitride on silicon carbide
A thin layer of indium nitride on silicon carbide, created using the molecule developed by researchers at Linköping University, Sweden. (Image: Magnus Johansson/Linköping University)

Indium nitride is a promising material for use in electronics, but difficult to manufacture. Scientists at Linköping University, Sweden, have developed a new molecule that can be used to create high-quality indium nitride, making it possible to use it in, for example, high-frequency electronics.

The bandwidth we currently use for wireless data transfer will soon be full. If we are to continue transmitting ever-increasing amounts of data, the available bandwidth must be increased by bringing further frequencies into use. Indium nitride may be part of the solution.
“Since electrons move through indium n...

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Physicists Just Quantum Teleported Information Between Particles of Matter

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A semiconductor chip for quantum processing (University of Rochester/J. Adam Fenster)

By making use of the ‘spooky’ laws behind quantum entanglement physicists think have found a way to make information leap between a pair of electrons separated by distance.

Teleporting fundamental states between photons – massless particles of light – is quickly becoming old news, a trick we are still learning to exploit in computing and encrypted communications technology.

But what the latest research has achieved is quantum teleportation between particles of matter – electrons –something that could help connect quantum computing with the more traditional electronic kind.

“We provide evidence for ‘entanglement swapping,’ in which we create entanglement between two electrons even thou...

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Silicon Nanowire Transistors with both Learning and Memory Functions

The brain-inspired dynamic neurotransistor chip developed by the researchers. Credit: Baek et al.

Neuromorphic computing entails building architectures inspired by elements of the human brain, such as neural organization and synapses. These architectures have proved to be highly promising and advantageous for a number of applications, as they can have both memory and learning functions.

Most current neuromorphic architectures artificially recreate the plasticity (i.e., ability to be easily shaped over time) of synapses, which are junctions between nerve cells that enable the propagation of impulses across brain regions...

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Measuring a Tiny Quasiparticle is a major step forward for Semiconductor Technology

PL spectra of BN encapsulated monolayer WSe2 at 4.2 K. Credit: Nature Communications (2020). DOI: 10.1038/s41467-020-16934-x

A team of researchers led by Sufei Shi, an assistant professor of chemical and biological engineering at Rensselaer Polytechnic Institute, has uncovered new information about the mass of individual components that make up a promising quasiparticle, known as an exciton, that could play a critical role in future applications for quantum computing, improved memory storage, and more efficient energy conversion.

Published today in Nature Communications, the team’s work brings researchers one step closer to advancing the development of semiconductor devices by deepening their understanding of an atomically thin class of materials known as transitional metal dichal...

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