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
Computers
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
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
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
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
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
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
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
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
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
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