Development of highly sensitive diode, converts microwaves to electricity

A group of researchers developed a highly sensitive rectifying element in the form of a nanowire backward diode, which can covert low-power microwaves into electricity. The new technology is expected that the newly-developed nanowire backward diode will be applied in using plentiful ambient radio wave energy in 5G communications, serving as a stable power source of sensors and contributing to battery-free sensors.

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Portable electronics: A stretchable and flexible biofuel cell that runs on sweat

A unique new flexible and stretchable device, worn against the skin and capable of producing electrical energy by transforming the compounds present in sweat, was recently developed and patented. This cell is already capable of continuously lighting an LED, opening new avenues for the development of wearable electronics powered by autonomous and environmentally friendly biodevices.

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Machine learning finds new metamaterial designs for energy harvesting

Electrical engineers have harnessed the power of machine learning to design dielectric (non-metal) metamaterials that absorb and emit specific frequencies of terahertz radiation. The technique drops the time needed to simulate possible configurations from more than 2,000 years to 23 hours, which should facilitate the design of sustainable types of thermal energy harvesters and lighting.

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Light work for superconductors

For the first time researchers successfully used laser pulses to excite an iron-based compound into a superconducting state. This means it conducted electricity without resistance. The iron compound is a known superconductor at ultralow temperatures, but this method enables superconduction at higher temperatures. It is hoped this kind of research could greatly improve power efficiency in electrical equipment and electronic devices.

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Model helps choose wind farm locations, predicts output

The wind is always blowing somewhere, but deciding where to locate a wind farm is a bit more complicated than holding up a wet finger. Now a team of researchers has a model that can locate the best place for the wind farm and even help with 24-hour predictions of energy output.

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