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Computers

Researchers use a nanoscale synthetic antiferromagnet to toggle nonlinear spin dynamics

April 28, 2021 by systems

Researchers at the University of California, Riverside, have used a nanoscale synthetic antiferromagnet to control the interaction between magnons -- research that could lead to faster and more energy-efficient computers. In ferromagnets, electron spins point in the same direction. To make future computer technologies faster and more energy-efficient, spintronics research … [Read more...] about Researchers use a nanoscale synthetic antiferromagnet to toggle nonlinear spin dynamics

New AI tool calculates materials’ stress and strain based on photos: The advance could accelerate engineers’ design process by eliminating the need to solve complex equations

April 28, 2021 by systems

Isaac Newton may have met his match. For centuries, engineers have relied on physical laws -- developed by Newton and others -- to understand the stresses and strains on the materials they work with. But solving those equations can be a computational slog, especially for complex materials. MIT researchers have developed a technique to quickly determine certain properties of a … [Read more...] about New AI tool calculates materials’ stress and strain based on photos: The advance could accelerate engineers’ design process by eliminating the need to solve complex equations

Researchers use AI to empower environmental regulators

April 27, 2021 by systems

Monitoring environmental compliance is a particular challenge for governments in poor countries. A new machine learning approach that uses satellite imagery to pinpoint highly polluting brick kilns in Bangladesh could provide a low-cost solution. Like superheroes capable of seeing through obstacles, environmental regulators may soon wield the power of all-seeing eyes that can … [Read more...] about Researchers use AI to empower environmental regulators

Machine learning model generates realistic seismic waveforms: New research could reduce manual labor and improve earthquake detection

April 27, 2021 by systems

A new machine-learning model that generates realistic seismic waveforms will reduce manual labor and improve earthquake detection, according to a study published recently in JGR Solid Earth. "To verify the e?cacy of our generative model, we applied it to seismic ?eld data collected in Oklahoma," said Youzuo Lin, a computational scientist in Los Alamos National Laboratory's … [Read more...] about Machine learning model generates realistic seismic waveforms: New research could reduce manual labor and improve earthquake detection

Silicon could be a photonics game-changer

April 27, 2021 by systems

New research from the University of Surrey has shown that silicon could be one of the most powerful materials for photonic informational manipulation -- opening up new possibilities for the production of lasers and displays. While computer chips' extraordinary success has confirmed silicon as the prime material for electronic information control, silicon has a reputation as a … [Read more...] about Silicon could be a photonics game-changer

Quantum steering for more precise measurements

April 27, 2021 by systems

Quantum systems consisting of several particles can be used to measure magnetic or electric fields more precisely. A young physicist at the University of Basel has now proposed a new scheme for such measurements that uses a particular kind of correlation between quantum particles. In quantum information, the fictitious agents Alice and Bob are often used to illustrate complex … [Read more...] about Quantum steering for more precise measurements

Fully recyclable printed electronics developed: New technique reclaims nearly 100% of all-carbon-based transistors while retaining future functionality of the materials

April 27, 2021 by systems

Engineers at Duke University have developed the world's first fully recyclable printed electronics. By demonstrating a crucial and relatively complex computer component -- the transistor -- created with three carbon-based inks, the researchers hope to inspire a new generation of recyclable electronics to help fight the growing global epidemic of electronic waste. The work … [Read more...] about Fully recyclable printed electronics developed: New technique reclaims nearly 100% of all-carbon-based transistors while retaining future functionality of the materials

New two-dimensional material

April 27, 2021 by systems

An international team with researchers from the University of Bayreuth has succeeded for the first time in discovering a previously unknown two-dimensional material by using modern high-pressure technology. The new material, beryllonitrene, consists of regularly arranged nitrogen and beryllium atoms. It has an unusual electronic lattice structure that shows great potential for … [Read more...] about New two-dimensional material

Future drones likely to resemble 300-million-year-old flying machine

April 27, 2021 by systems

University of South Australia researchers have drawn inspiration from a 300-million-year-old superior flying machine -- the dragonfly -- to show why future flapping wing drones will probably resemble the insect in shape, wings and gearing. A team of PhD students led by UniSA Professor of Sensor Systems, Javaan Chahl, spent part of the 2020 COVID-19 lockdown designing and … [Read more...] about Future drones likely to resemble 300-million-year-old flying machine

Scientists glimpse signs of a puzzling state of matter in a superconductor: Known as ‘pair-density waves,’ it may be key to understanding how superconductivity can exist at relatively high temperatures

April 23, 2021 by systems

Unconventional superconductors contain a number of exotic phases of matter that are thought to play a role, for better or worse, in their ability to conduct electricity with 100% efficiency at much higher temperatures than scientists had thought possible -- although still far short of the temperatures that would allow their wide deployment in perfectly efficient power lines, … [Read more...] about Scientists glimpse signs of a puzzling state of matter in a superconductor: Known as ‘pair-density waves,’ it may be key to understanding how superconductivity can exist at relatively high temperatures

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