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Archive for the ‘computing’ category: Page 12

Mar 30, 2024

Astronomers map 1.3 million supermassive black holes

Posted by in categories: computing, cosmology, mapping, physics

Ever wonder where all the active supermassive black holes are in the universe? Now, with the largest quasar catalog yet, you can see the locations of 1.3 million quasars in 3D.

The catalog, Quaia, can be accessed here.

“This quasar catalog is a great example of how productive astronomical projects are,” says David Hogg, study co-author and computational astrophysicist at the Flatiron Institute, in a press release. “Gaia was designed to measure stars in our galaxy, but it also found millions of quasars at the same time, which give us a map of the entire universe.” By mapping and seeing where quasars are across the universe, astrophysicists can learn more about how the universe evolved, insights into how supermassive black holes grow, and even how dark matter clumps together around galaxies. Researchers published the study this week in The Astrophysical Journal.

Mar 30, 2024

What is quantum cognition, and how is it applied to psychology?

Posted by in categories: computing, mathematics, neuroscience, quantum physics

Quantum cognition is a new research program that uses mathematical principles from quantum theory as a framework to explain human cognition, including judgment and decision making, concepts, reasoning, memory, and perception. This research is not concerned with whether the brain is a quantum computer. Instead, it uses quantum theory as a fresh conceptual framework and a coherent set of formal tools for explaining puzzling empirical findings in psychology. In this introduction, we focus on two quantum principles as examples to show why quantum cognition is an appealing new theoretical direction for psychology: complementarity, which suggests that some psychological measures have to be made sequentially and that the context generated by the first measure can influence responses to the next one, producing measurement order effects, and superposition, which suggests that some psychological states cannot be defined with respect to definite values but, instead, that all possible values within the superposition have some potential for being expressed. We present evidence showing how these two principles work together to provide a coherent explanation for many divergent and puzzling phenomena in psychology. (PsycInfo Database Record © 2020 APA, all rights reserved)

Mar 30, 2024

A new path for organic electrochemical transistors

Posted by in categories: chemistry, computing

An article in Nature Electronics presents how to use electron-beam lithography to obtain p-and n-type vertical organic electrochemical transistor matrix arrays and complementary logic circuits.

Mar 30, 2024

To observe photoswitches, stick on a platinum atom

Posted by in categories: biotech/medical, computing, mobile phones

Advances with photoswitches could lead to a smartphone that’s soft and flexible and shaped like a hand so you can wear it as a glove, for example. Or a paper-thin computer screen that you can roll up like a window shade when you’re done using it. Or a TV as thin as wallpaper that you can paste on a wall and hardly know it’s there when you’re not watching it.

Photoswitches, which turn on and off in response to light, can be stitched together to replace the transistors used in that control the flow of the electric current.

Commercial silicon transistors are brittle, nontransparent, and typically several microns thick, about the same thickness as a . In contrast, photoswitches are one or two nanometers, about 1,000 times thinner. They can also be mounted on graphene, a transparent, flexible material.

Mar 30, 2024

New carbon nanotube transistor enhances sensitivity and resolution of molecule glasses

Posted by in categories: biological, computing, nanotechnology

Researchers have developed a carbon nanotube (CNT) transistor for molecule glasses that facilitates detailed examination of molecular interactions. This innovative technology is poised to open a fresh research direction in nanotechnology and molecular biology.

Mar 30, 2024

Selective operation of enhancement and depletion modes of nanoscale field-effect transistors

Posted by in categories: computing, nanotechnology

Nanoscale transistors are in demand for efficient digital circuits, and biasing of each device is critical. These stringent biasing conditions can be relaxed by obtaining precise values of the threshold voltages of the transistor. This leads to more tolerant logic states to the electrical noise.

To meet the requirements of reduced , CMOS field-effect transistors (FETs) are fabricated such that they operate in enhancement (E) mode, i.e., there are no free charge carriers in the channel at zero gate . On the other hand, depletion (D) mode transistors have higher currents than enhancement mode due to ample charge carrier density.

In contrast to switching applications of FET, for high-frequency applications, off-state of FET is not a compulsory requirement. In fact, the presence of a channel at zero gate bias is advantageous to obtain high transconductance at lower voltages. For Si FETs, the enhancement or depletion modes were determined at the fabrication step of ion implantation doping. However, it is challenging to implement this solution for the new generation of thin materials like organic semiconductors and 2D materials.

Mar 29, 2024

Researchers challenge the limits of molecular memory, opening the door to the development of molecular chips

Posted by in categories: chemistry, computing

Some molecules respond to external light pulses by changing their structure and holding certain states that can be switched from one to another. These are commonly referred to as photoswitches and usually have two possible states. Recently, however, scientists from the Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences (IOCB Prague) have developed a molecule that takes the possibilities of photoswitches a step further.

Mar 29, 2024

Mind Machine Interfaces

Posted by in categories: computing, neuroscience

The ability to link mind and machine has long been the realm of science fiction, but now improvements in our understanding may allow us to network brain to computer in the near future. Companies like Neurolink have begun to explore how to link our neurons to machine, and we’ll explore now such neural interfaces might function and how they might change our lives.

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Mar 29, 2024

Universal brain-computer interface lets people play games with just their thoughts

Posted by in categories: computing, entertainment, neuroscience

Imagine playing a racing game like Mario Kart, using only your brain to execute the complex series of turns in a lap.

Mar 29, 2024

Transistor Takes Advantage of Quantum Interference

Posted by in categories: computing, engineering, quantum physics

As transistors are made ever tinier to fit more computing power into a smaller footprint, they bump up against a big problem: quantum mechanics. Electrons get jumpy in small devices and leak out, which wastes energy while degrading performance. Now a team of researchers is showing that it doesn’t have to be that way. With careful engineering, it’s possible to turn electrons’ quantum behavior into an advantage.

A team of English, Canadian, and Italian researchers have developed a single-molecule transistor that harnesses quantum effects. At low temperatures, the single-molecule device shows a strong change in current with only a small change in gate voltage, nearing a physical limit known as the sub-threshhold swing. Getting near or beyond this limit will allow transistors to be switched with lower voltages, making them more efficient and generating less waste heat. The research team, including physicists at Queen Mary University of London, achieved this by taking advantage of how quantum interference alters the flow of current in single molecules.

“We’ve demonstrated, in principle, that you can use destructive quantum interference for something useful.” —Jan Mol, Queen Mary University of London.

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