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Category: electronics – Page 79

More news on ORNL’s efforts around magnetic excitations in the metallic compound ytterbium-platinum-lead (Yb2Pt2Pb).

Researchers at the Department of Energy’s Oak Ridge National Laboratory and their collaborators used neutron scattering to uncover magnetic excitations in the metallic compound ytterbium-platinum-lead (Yb2Pt2Pb). Surprisingly, this three-dimensional material exhibits magnetic properties that one would conventionally expect if the connectivity between magnetic ions was only one-dimensional. Their research is discussed in a paper published in the journal Science.

An electron can theoretically be understood as a bound state of three quasiparticles, which collectively carry its identity: spin, charge and orbit. It has been known that the spinon, the entity that carries information about electron spin, can “separate” itself from the others under certain conditions in one-dimensional chains of magnetic ions such as copper (Cu2+) in an insulating host. Now, the new study reveals that spinons are also present in metallic Yb2Pt2Pb.

The experimental team included ORNL postdoctoral researcher and lead author Liusuo Wu, Georg Ehlers, and Andrey Podlesnyak, instrument scientists at ORNL’s Spallation Neutron Source (SNS), a DOE Office of Science User Facility. The team made use of the neutrons’ sensitivity to magnetic fluctuations at the atomic scale and the world-leading capabilities of the SNS Cold Neutron Chopper Spectrometer (CNCS) instrument.

Continue reading “Neutrons reveal unexpected magnetism in rare-earth alloy” | >

Featuring backside-illuminated sensor technology providing 95% quantum efficiency, the Prime 95B from 2016 Innovators Awards silver-level honoree Photometrics is reportedly three times more sensitive than the current generation of sCMOS cameras. The camera features a GSENSE400BSI-TVISB scientific CMOS (sCMOS) sensor from Gpixel Inc., which is a 1.44 MPixel sensor with a 11 µm square pixel size that can achieve a frame rate of 41 fps in 16-bit and 82 fps in 12-bit. The Prime 95B, according to Photometrics, is optimized for low-light microscopy and life sciences imaging applications because of its ability to collect nearly all available light, and maximize the signal-to-noise ratio of the experiment while minimizing cellular photo damage. Additionally, the camera features forced air or liquid cooling options, as well as a PCIe and USB 3.0 interfaces.

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America Future Secrets Military Weapons #Mind Blow (Full Documentary)

MOST FEARED Weapons Technology for US Military (Message to world) 2016.

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Silicon forms the basis of everything from solar cells to the integrated circuits at the heart of our modern electronic gadgets. However the laser, one of the most ubiquitous of all electronic devices today, has long been one component unable to be successfully replicated in this material. Now researchers have found a way to create microscopically-small lasers directly from silicon, unlocking the possibilities of direct integration of photonics on silicon and taking a significant step towards light-based computers.

Whilst there has been a range of microminiature lasers incorporated directly into silicon over the years, including melding germanium-tin lasers with a silicon substrate and using gallium-arsenide (GaAs) to grow laser nanowires, these methods have involved compromise. With the new method, though, an international team of researchers has integrated sub-wavelength cavities, the basic components of their minuscule lasers, directly onto the silicon itself.

To help achieve this, a team of collaborating scientists from Hong Kong University of Science and Technology, the University of California, Santa Barbara, Sandia National Laboratories and Harvard University, first had to find a way to refine silicon crystal lattices so that their inherent defects were reduced significantly enough to match the smooth properties found in GaAs substrate lasers. They did this by etching nano-patterns directly onto the silicon to confine the defects and ensure the necessary quantum confinement of electrons within quantum dots grown on this template.

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Gene-based circuits are about to get decidedly more sophisticated. MIT scientists have developed a method for integrating both analog and digital computing into those circuits, turning living cells into complex computers. The centerpiece is a threshold sensor whose gene expression flips DNA, converting analog chemical data into binary output — basically, complex data can trigger simple responses that match the language of regular computers.

The practical applications are huge. Along with general-purpose computing, you could have advanced sensors that trigger different kinds of chemical production depending on levels for other chemicals. You could produce insulin when there’s too much glucose, for instance, or deliver different kinds of cancer therapy. And this isn’t just talk. Clinical trials for a simple gene circuit (which will treat gut diseases) are starting within a year, so you could see these organic machines in action before too long.

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If you’ve ever held a high-quality camera lens, the first thing you notice is the weight. Thanks to layers and layers of thick glass hunks inside, they end up being very heavy. However, thanks to research being done at Harvard on something called metalenses, one day those mgiant glass-filled lenses might be obsolete.

The curved surfaces on a glass lens focus incoming light onto a camera’s digital sensor. The more precise (and expensive) the lens is, the better the image it will produce.

Metalenses work in a similar way, but they’re not made of precision-ground glass. Instead, a layer of transparent quartz is completely covered in a layer of tiny towers made from titanium dioxide. When arranged in specific patterns, those complex tower arrays can focus light exactly like a glass lens does. Except that these tiny metalenses end up being thinner than a human hair, and weigh almost nothing.

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More energy efficient, high performance microprocessors on the way.

Abstract: Tiny high-performance lasers grown directly on silicon wafers solve a decades-old semiconductor industry challenge that, until now, has held back the integration of photonics with electronics on the silicon platform,

A group of scientists from Hong Kong University of Science and Technology; the University of California, Santa Barbara; Sandia National Laboratories and Harvard University were able to fabricate tiny lasers directly on silicon — a huge breakthrough for the semiconductor industry and well beyond.

For more than 30 years, the crystal lattice of silicon and of typical laser materials could not match up, making it impossible to integrate the two materials — until now.

Continue reading “Tiny lasers enable next-gen microprocessors to run faster, less power-hungry” | >

As the computation and communication circuits we build radically miniaturize (i.e. become so low power that 1 picoJoule is sufficient to bang out a bit of information over a wireless transceiver; become so small that 500 square microns of thinned CMOS can hold a reasonable sensor front-end and digital engine), the barrier to introducing these types of interfaces into organisms will get pretty low. Put another way, the rapid pace of computation and communication miniaturization is swiftly blurring the line between the technological base that created us and the technological based we’ve created. Michel Maharbiz, University of California, Berkeley, is giving an overview (june 16, 2016) of recent work in his lab that touches on this concern. Most of the talk will cover their ongoing exploration of the remote control of insects in free flight via implantable radio-equipped miniature neural stimulating systems.; recent results with neural interfaces and extreme miniaturization directions will be discussed. If time permits, he will show recent results building extremely small neural interfaces they call “neural dust,” work done in collaboration with the Carmena, Alon and Rabaey labs.

Radical miniaturization has created the ability to introduce a synthetic neural interface into a complex, multicellular organism, as exemplified by the creation of a “cyborg insect.”

“The rapid pace of computation and communication miniaturization is swiftly blurring the line between technological base we’ve created and the technological base that created us,” explained Dr. Maharbiz. “These combined trends of extreme miniaturization and advanced neural interfaces have enabled us to explore the remote control of insects in free flight via implantable radio-equipped miniature neural stimulating systems.”

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When I 1st read this headline, I had to pause and ask myself “was the article’s author informed at all on QC?” especially given China’s own efforts much less D-Wave, Google, and University of Sydney. And, then I read the article and I still have to wonder if the author is on top of the emerging technologies such as BMI, graphene, QC, and other nanotechnology that are already being tested to go live in the next 7 to 10 years plus much of the content is very superficial at best. I am glad that the author did put the tid bit on Singularity as the endpoint state; however, that is pretty well known. Nonetheles, sharing to let you be the judge.

For decades, we relied on silicon as the semiconductor for our computer chips. But now, working at nanometer scales, it looks like physical limitations may end the current methods to include more and more processing power onto each individual chip.

Many companies are making billion-dollar investments to continue scaling down semiconductor technology. The pressures of big data and cloud computing are pushing the limits of the current semiconductor technology in terms of bandwidth, memory, processing speed, and device power consumption.

Today’s state-of-the-art silicon chips are engineered at the 22- and 14-nanometer scale. Research is underway to take that down to 10-nanometer scale in the next several years.

Continue reading “What Will Electronics & Semiconductors Be Like In 100 Years?” | >