Category Technology/Electronics

GraphExeter illuminates bright new Future for Flexible Lighting Devices

GraphExeter is a material adapted from the ‘wonder material’ graphene.

GraphExeter is a material adapted from the ‘wonder material’ graphene.

Exeter researchers have substantially improved the effectiveness of large, flat, flexible lighting via GraphExeter – a material adapted from the ‘wonder material’ graphene. By using GraphExeter, the most transparent, lightweight and flexible material for conducting electricity, instead of pure graphene, the team have increased the brightness of flexible lights by up to almost 50%. The research has also shown GraphExeter makes the lights 30% more efficient than existing examples of flexible lighting, based on state-of-the-art commercial polymers.

The research team believe the breakthrough could help significantly improve the viability of the next generation of flexible screens, which could be used for display screens...

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Next-Gen Fluorescent, LED lighting thanks to new Phosphor?

Topology of the zeolite frameworks and Auger spectra of their silver clusters.

Topology of the zeolite frameworks and Auger spectra of their silver clusters.

Researchers have discovered a new phosphor that could make next-generation fluorescent and LED lighting even cheaper and more efficient. The team used highly luminescent clusters of silver atoms and the porous framework of minerals known as zeolites. Silver clusters consist of just a few silver atoms and have remarkable optical properties. However, current applications are limited, because the clusters tend to aggregate into larger particles, thus losing the interesting optical properties.

Phosphor is the luminescent material critical to many lighting applications, especially LEDs. Most white LEDs are in fact blue LEDs with a phosphor coating.

Phosphor is the luminescent material critical to many lighting applications, especially LEDs. Most white LEDs are in fact blue LEDs with a phosphor coating.

Prof Hofkens and his team have now found a way to keep the silver clu...

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Self-Learning Arm Controlled by Thought

Young scientists from Tomsk Polytechnic University are developing a robotic arm prototype and its control algorithm using myoelectric signals

Young scientists from Tomsk Polytechnic University are developing a robotic arm prototype and its control algorithm using myoelectric signals

Scientists are developing a robotic arm prototype and its control algorithm using myoelectric signals. The mechanical limb will independently recognize the motions of its owner and be able to perform all the same motions like a healthy arm. The scientists estimate the final cost of the device of 600 –1,000 USD.

According to the developers – fellows at the Laboratory of Medical Instrument-Making, the Institute of Non-Destructive Testing – Mikhail Grigoriev, Nikita Turushev and Evgeniy Tarakanets, the manufacturing of human prosthetic limbs has been available for a few decades...

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New Electron Microscope Method Detects Atomic-Scale Magnetism

microscopy technique to measure magnetism at the atomic scale. Credit: ORNL

microscopy technique to measure magnetism at the atomic scale. Credit: ORNL

Scientists can now detect magnetic behavior at the atomic level with a new electron microscopy technique developed by a team from the Department of Energy’s Oak Ridge National Lab and Uppsala University, Sweden. They took a counterintuitive approach by taking advantage of optical distortions that they typically try to eliminate.

ORNL’s Juan Carlos Idrobo said: “We will be able to study materials in a new way. Hard drives, for instance, are made by magnetic domains, and those magnetic domains are about 10 nanometers apart.” The researchers plan to refine their technique to collect magnetic signals from individual atoms that are 10X smaller than a nanometer...

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