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Thermal span in a layered compound promises applications in next-generation electrical switches and nonvolatile memory.

When temperature changes, many materials undergo a phase transition, such as liquid water to ice, or a metal to a superconductor. Sometimes, a so-called hysteresis loop accompanies such a phase change, so that the transition temperatures are different depending on whether the material is cooled down or warmed up.

In a new paper in Physical Review Letters, a global research team led by MIT physics professor Nuh Gedik discovered an unusual hysteretic transition in a layered compound called EuTe₄, where the hysteresis covers a giant temperature range of over 400 kelvins. This large thermal span not only breaks the record among crystalline solids, but also promises to introduce a new type of transition in materials that possess a layered structure. These findings would create a new platform for fundamental research on hysteretic behavior in solids over extreme temperature ranges. In addition, the many metastable states residing inside the giant hysteresis loop offer ample opportunities for scientists to exquisitely control the electrical property of the material, which can find application in next-generation electrical switches or nonvolatile memory, a type of computer memory that retains data when powered off.

When the next generations are fewer and less wealthy than the previous generations(who are living longer), problems can arise.

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Continue reading “Social Security Is The World’s Largest Ponzi Scheme” »

But with more of everything?

Every day brings us closer to the launch of next generation video cards. The RX 6,000 series and Nvidia RTX 30 series have been with us for well over a year, and we’re looking forward to what’s coming next. Well known leaker Greymon55 loves a good tease and his latest tweet indicates that the fundamental architecture of the upcoming Lovelace, or RTX 40 series GPUs isn’t all that different from those of current Ampere RTX 30 GPUs.

The Lovelace architecture doesn’t change much. February 5, 2022

Continue reading “Nvidia’s next generation Lovelace architecture may not differ all that much from Ampere” »

Proof-of-concept paper shows how data centers could help manage the grid.

It’s no secret that, while the humble GPU was originally conceived for the express purpose of chucking polygons around a screen in the most efficient way, it turns out the parallel processing prowess of modern graphics chips makes for an incredibly powerful tool in the scientific community. And an incredibly efficient one, too. Indeed A Large Ion Collider Experiment (ALICE) has been using GPUs in its calculations since 2010 and its work has now encouraged their increased use in various LHC experiments.

The potential bad news is that it does mean there’s yet another group desperate for the limited amount of GPU silicon coming out of the fabs of TSMC and Samsung. Though at least this lot will be using it for a loftier purpose than mining fake money coins.

All memory storage devices, from your brain to the RAM in your computer, store information by changing their physical qualities. Over 130 years ago, pioneering neuroscientist Santiago Ramón y Cajal first suggested that the brain stores information by rearranging the connections, or synapses, between neurons.

Since then, neuroscientists have attempted to understand the physical changes associated with memory formation. But visualizing and mapping synapses is challenging to do. For one, synapses are very small and tightly packed together. They’re roughly 10 billion times smaller than the smallest object a standard clinical MRI can visualize. Furthermore, there are approximately 1 billion synapses in the mouse brains researchers often use to study brain function, and they’re all the same opaque to translucent color as the tissue surrounding them.

Continue reading “New brain imaging technique suggests memories are stored in the connections between your neurons” »

Transistors based on semiconductor materials are widely used electronic components with many remarkable properties. For instance, they have a nonreciprocal electrical response, which means that they can isolate two parts of a circuit in such a way that one of the parts (the input section) can influence the other part (the output section), but not the other way around. In addition, transistors can amplify voltage signals, and thereby can supply energy to a system. Non-energy conserving interactions are usually referred to as “non-Hermitian.”

Researchers from Instituto de Telecomunicações at the University of Coimbra and University of Lisbon have recently introduced a new class of bulk materials that draws inspiration from the non-reciprocal and non-Hermitian responses of conventional semiconductor-based transistors. They presented these transistor-like three-dimensional (3D) bulk metamaterials in a paper published in Physical Review Letters.

Mário Silveirinha, one of the researchers who carried out the study, told Phys.org, “The ideas developed in our paper were mostly driven by the question: Would it be possible to somehow imitate the response of standard transistors in a bulk metamaterial? We were intrigued if it would be feasible to have a bulk material which, when suitably biased, could manipulate electromagnetic waves in the same way as a transistor manipulates a voltage signal.”

Researchers at École Polytechnique Fédérale de Lausanne (EPFL) and the Hitachi Cambridge Laboratory have recently designed an integrated circuit (IC) that integrates silicon quantum dots with conventional readout electronics. This chip, introduced in a paper published in Nature Electronics, is based on a 40-nm cryogenic complementary metal-oxide semiconductor (CMOS) technology that is readily and commercially available.

“Our recent paper builds on the expertise of the two groups involved,” Andrea Ruffino, one of the researchers at EPFL who carried out the study, told TechXplore. “The goal of our group was to build cryogenic (Bi)CMOS integrated circuits for readout and control of quantum computers, to be co-packaged or co-integrated in the final stage with silicon quantum processors. On the other hand, the team at the Hitachi Cambridge Laboratory have been studying silicon quantum devices for many years.”

Ruffino and his colleagues at EPFL joined forces with the team at the Hitachi Cambridge Laboratory with the common goal of uniting classical circuits and quantum devices on a single chip. Their paper builds on some of their previous efforts, including the proposal of cryogenic CMOS ICs for quantum computing, as well as the realization of fast-sensing and time-multiplexed sensing of silicon quantum devices.