Category Technology/Electronics

Future Smart Homes could be Powered with Electronics built on Stones

An array of stones
Interconnected microenergy devices built on marble tiles create customizable 3D power supply systems.
Credit: Adapted from ACS Nano 2022, DOI: 10.1021/acsnano.2c01753

What if you could power the smart thermostats, speakers and lights in your home with a kitchen countertop? Stones, such as marble and granite, are natural, eco-friendly materials that many people building or renovating houses already use. Now, in a step toward integrating energy storage with these materials, researchers have fabricated microsupercapacitors onto the surface of stone tiles. The devices, reported in ACS Nano, are durable and easily scaled up for customizable 3D power supplies.

It would be convenient if the surfaces in rooms could charge smart home devices or other small electronics without being connected ...

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Researchers build Long, highly Conductive Molecular Nanowire

molecular series
A brief abstract figure of this work. Top: the two-step oxidation of the bis(triarylamines) molecular series.

The 2.6nm-long single molecule wire has quasi-metallic properties and shows an unusual increase of conductance as the wire length increases; its excellent conductivity holds great promise for the field of molecular electronics.

As our devices get smaller and smaller, the use of molecules as the main components in electronic circuitry is becoming ever more critical. Over the past 10 years, researchers have been trying to use single molecules as conducting wires because of their small scale, distinct electronic characteristics, and high tunability...

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Breaking AIs to Make them Better

Grahical abstract explaining Raw-Zero-Shot
Image recognition AIs are powerful but inflexible and cannot recognize images unless they are trained on specific data. In Raw Zero-Shot Learning, researchers give these image recognition AIs a variety of data and observe the patterns in their answers. The research team hopes that this methodology can help improve the robustness of future AI. Illustrated by Hiroko Uchida.

Researchers investigate ways to make AIs more robust by studying patterns in their answers when faced with the unknown. Current AIs are very accurate but inflexible at image recognition. Exactly why this is remains a mystery. Researchers have developed a method called ‘Raw Zero-Shot’ to assess how neural networks handle elements unknown to them...

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New Single-Mode Semiconductor Laser delivers Power with Scalability

Schematic of the Berkeley Surface Emitting Laser (BerkSEL)
Schematic of the Berkeley Surface Emitting Laser (BerkSEL) illustrating the pump beam (blue) and the lasing beam (red). The unconventional design of the semiconductor membrane synchronizes all unit-cells (or resonators) in phase so that they are all participating in the lasing mode. (Image courtesy of the Kanté group)

Berkeley engineers have created a new type of semiconductor laser that accomplishes an elusive goal in the field of optics: the ability to maintain a single mode of emitted light while maintaining the ability to scale up in size and power. It is an achievement that means size does not have to come at the expense of coherence, enabling lasers to be more powerful and to cover longer distances for many applications.

A research team led by Boubacar Kanté, Chenming Hu Asso...

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