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Split wave

A new approach to neuromorphic computing has been demonstrated using micrometer-sized wafers, enabling fast and energy-efficient pattern recognition. The HZDR team's component exploits spin waves to process information without moving electrons, promising applications in AI-powered smartphones and traffic optimization.

SourceHelmholtz-Zentrum Dresden-Rossendorf·JournalPhysical Review Letters·DateDec 7, 2020

The return of the spin echo

A research team has discovered a remarkable echo effect in phosphorus atoms on silicon, allowing for the detection of multiple spin echoes. This effect is due to strong coupling between atomic spins and microwave photons, enabling the processing of quantum information.

SourceVienna University of Technology·JournalPhysical Review Letters·DateSep 24, 2020

Improving weather forecasts with observations from the microwave instruments onboard China's FY-3D satellite

The study evaluates the performance of FY-3D's instruments, showing improved data quality and reduced forecast errors by 0.1% on average. The assimilation of FY-3D microwave observations enhances global weather forecasting, climate prediction, and resilience to extreme weather events.

SourceInstitute of Atmospheric Physics, Chinese Academy of Sciences·JournalAdvances in Atmospheric Sciences·DateAug 27, 2020

Germany-wide rainfall measurements by utilizing the mobile network

Scientists have developed a new method to measure rainfall in Germany using commercial microwave links, achieving high accuracy and temporal resolution. The technique involves analyzing signal attenuation caused by precipitation, with the help of artificial intelligence, and has been successfully tested for application in West Africa.

SourceKarlsruher Institut für Technologie (KIT)·JournalAtmospheric Measurement Techniques·DateAug 3, 2020

Microwaves power new technology for batteries, energy

Purdue University researchers developed a technique to turn waste polyethylene terephthalate into battery components using ultrafast microwave irradiation. The technology has shown promising results for lithium-ion and sodium-ion battery cells, offering a low-cost and sustainable solution for renewable energy storage.

SourcePurdue University·JournalACS Sustainable Chemistry & Engineering·DateApr 22, 2020

Machine learning shapes microwaves for a computer's eyes

Researchers at Duke University developed a new method to identify objects using microwaves that improves accuracy while reducing computing time and power requirements. The system uses machine-learning approach to jointly determine optimal hardware settings, cutting out the need for image analysis by humans.

SourceDuke University·JournalAdvanced Science·DateJan 9, 2020

Non-adiabatic dynamics of strongly driven diffusive Josephson junctions

A team of researchers from the University of Jyvaskyla and others have studied the out-of-equilibrium dynamical state induced by microwave photon absorption in diffusive Superconductor-Normal metal-Superconductor junctions. Strong anharmonicity of the current-phase relation arises under illumination, driven by non-adiabatic transitions.

SourceUniversity of Jyväskylä - Jyväskylän yliopisto·JournalPhysical Review Research·DateDec 4, 2019

A remote control for everything small

Researchers at TU Wien have created a calculation method to determine the perfect wave form for manipulating small particles in complex environments. This allows for precise control over particles without direct physical contact, opening up new possibilities for biological research and applications.

SourceVienna University of Technology·JournalNature Photonics·DateNov 19, 2019

New super-accurate optical atomic clocks pass critical test

Researchers have achieved record-breaking accuracy with an optical clock, setting a new standard for cesium-referenced measurements. The high accuracy of optical clocks could support advances in timing systems used in navigation and communication systems, enabling more precise measurements of physical phenomena not yet fully understood.

SourceOptica·JournalOptica·DateApr 11, 2019