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Category: particle physics – Page 595

Computronium is defined by some as a substance which approaches the theoretical limit of computational power that we can achieve through engineering of the matter around us. It would mean that every atom of a piece of matter would be put to useful work doing computation. Such a system would reside at the ultimate limits of efficiency, and the smallest amount of energy possible would be wasted through the generation of heat. Computronium crops up in science fiction a lot, usually as something that advanced civilizations have created, occasionally causing conflicts due to intensive harvesting of matter from their galaxy to further their processing power. The idea is also also linked with advanced machine intelligence: A block of matter which does nothing other than compute could presumably would be incredibly sought after by any artificial intelligence looking to get the most compact and powerful brain for its money!

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It sounds like a plot from a comic book or a sci-fi film, a theory that got a boost when one of the greatest discoveries in physics in the modern era, the discovery of the “God particle,” or the Higgs boson, the missing piece in the Standard Model of particle physics. In the preface to his book Starmus, Stephen Hawking warns that the Higgs Boson field could collapse, resulting in a chain reaction that would take in the whole universe with it.

Theoretical physicist Joseph Lykken says it would probably take billions of years before we reach that point. Lykken hails from the Fermi National Accelerator Laboratory in Batavia, Illinois. If it did happen though, you wouldn’t know it. One instant you are here, the next, you and everything else is swallowed up by an enormous vacuum bubble, traveling at light speed in every direction. Humanity would never see it coming.

Peter Higgs and colleagues first theorized the existence of the Higgs boson in 1964. The Large Hadron Collider (LHC) at CERN in Geneva, Switzerland finally discovered it in 2012. With this missing piece found, three of the four fundamental forces of nature become complete. The particle’s measured value is 126 billion electron volts. That’s 126 times a proton’s mass. This is just enough to maintain a state teetering near the edge of stability.

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As atoms in our bodies were made in stars millions of years ago, it’s been common to propose that we are, in fact, made of stars. Now comes news of another mind-blowing cosmic relationship as physicists conclude that human cells and neutron stars share structural similarities, which look like multi-story parking garages.

Neutron stars are quite strange space objects. They come to life as a result of supernova explosions of massive stars and are incredibly dense. While they are the smallest stars, they can pack as much mass as two Suns into a star with the radius of just 10 kilometers.

What the scientists found is that material inside human cell cytoplasms (fluid around a cell nucleus) looks like helices connecting stacks of evenly spaced sheets, dubbed “Terasaki ramps”.

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Nanoparticles are particles that are smaller than 100 nanometers. They are typically obtained from metals and, because of their tiny size, have unique properties that make them useful for biomedical applications. However, without treatment to make their surfaces biologically inert, their effectiveness is severely limited. Researchers led by Kazuhiko Ishihara at the University of Tokyo have pioneered the use of MPC polymers to modify the surfaces of nanoparticles. In a recent article published in the journal Science and Technology of Advanced Materials, they reviewed current ways in which polymeric nanoparticles can be used to transport a type of small nanoparticles called quantum dots into cells.

Cells can uptake polymer nanoparticles embedding quantum dots covered with cytocompatible phospholipid polymer and cell-penetrating peptides. © 2016 Kazuhiko Ishihara, Weixin Chen, Yihua Liu, Yuriko Tsukamoto and Yuuki Inoue.

MPC polymers are large molecules made from chains of 2-methacryloyloxyethyl phosphorylcholine (MPC). Bioactive nanoparticles whose surfaces have been modified with them can be used as anti-tumor compounds, gene carriers, contrast agents that improve MRI images, and protein detectors. MPC polymers mimic cellular membranes and allow the delivery of bioactive molecules that are normally not very soluble in water or that might produce unwanted biological side effects. When scientists attach MPC polymers to the surface of inorganic nanoparticles, they can make substances that are easily delivered into the blood or other tissue.

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Researchers at the Indian Institute of Science Education and Research (IISER) in Kolkata, India, have for the first time implemented a bio-waste-derived electrode as cathode in a quantum-dot-sensitized solar cell.

“The materials to be used as cathode in quantum dot solar cells need to be highly catalytic and electrically conducting to facilitate the electron transfer processes,” explains Professor Sayan Bhattacharyya from the Department of Chemical Sciences at IISER. He adds that the lamellar structure of human hair is likely responsible for the graphene-like sheets in the transformed graphitic porous carbon. “Secondly,” he continues, “since hair contains keratin and other amino acids, carbonizing the acid-digested hair under inert conditions likely retains the nitrogen and sulphur hetero-atoms, which are useful to enhance the catalytic propensity of the produced carbon.”

As the professor explains, the idea behind this research project was to use a bio-waste resource like hair in future energy technologies to achieve a win-win situation — i.e., “A smart way to address environmental concerns and also to produce cheaper devices.”

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New method for creating smaller switches for QC identified and making smaller and more efficient QC systems possible.

Edmonton nanotechnology researchers working with atom-sized materials have made a breakthrough that could lead to smaller, ultraefficient computers.

The team, led by Robert Wolkow, together with collaborators at the Max Planck Institute in Hamburg, have developed a way to create atomic switches for electricity nearly 100 times smaller than the smallest switches, or transistors, on the market today. Their findings appeared in the Oct. 26 edition of the scientific publication Nature Communications.

“What we’re showing in this new paper is one part in a bigger scheme … that allows us to make ultralow power consuming electronic devices,” said Wolkow, a physics professor at the University of Alberta and the principal research officer at Edmonton’s National Institute for Nanotechnology. He’s also chief technology officer at spinoff company Quantum Silicon Inc.

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Patches of chain-like molecules placed across nanoscale particles can radically transform the optical, electronic, and magnetic properties of particle-based materials. Understanding why depends critically on the three-dimensional features of these “polymer nano-patches”—which are tantalizingly difficult to reveal at a scale spanning just billionths of a meter.

Now, scientists have used cutting-edge electron tomography techniques—a process of 3D reconstructive imaging —to pinpoint the structure and composition of the polymer nano-patches. The results, published earlier this month in the journal Nature, “lay the foundation for new nanoscale architectures that could potentially enhance technologies such as self-assembled solar cells and catalysts,” said lead author Eugenia Kumacheva of the University of Toronto.

The scientists tracked the patches formed by different synthetic polymers—versatile and common compounds used in everything from plastics to electronics —on the surface of gold nanospheres thousands of times smaller than the width of a single human hair. To visualize the elusive surface structures, Kumacheva and her team turned to cutting-edge facilities at the Center for Functional Nanomaterials (CFN), a U.S. Department of Energy (DOE) Office of Science User Facility at DOE’s Brookhaven National Laboratory.

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Abstract: In 1959 renowned physicist Richard Feynman, in his talk “Plenty of Room at the Bottom,” spoke of a future in which tiny machines could perform huge feats. Like many forward-looking concepts, his molecule and atom-sized world remained for years in the realm of science fiction.

And then, scientists and other creative thinkers began to realize Feynman’s nanotechnological visions.

In the spirit of Feynman’s insight, and in response to the challenges he issued as a way to inspire scientific and engineering creativity, electrical and computer engineers at UC Santa Barbara have developed a design for a functional nanoscale computing device. The concept involves a dense, three-dimensional circuit operating on an unconventional type of logic that could, theoretically, be packed into a block no bigger than 50 nanometers on any side.

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Quantum theory is strange and counterintuitive, but it’s very precise. Lots of analogies and broad concepts are presented in popular science trying to give an accurate description of quantum behavior, but if you really want to understand how quantum theory (or any other theory) works, you need to look at the mathematical details. It’s only the mathematics that shows us what’s truly going on.

Mathematically, a quantum object is described by a function of complex numbers governed by the Schrödinger equation. This function is known as the wavefunction, and it allows you to determine quantum behavior. The wavefunction represents the state of the system, which tells you the probability of various outcomes to a particular experiment (observation). To find the probability, you simply multiply the wavefunction by its complex conjugate. This is how quantum objects can have wavelike properties (the wavefunction) and particle properties (the probable outcome).

No, wait. Actually a quantum object is described by a mathematical quantity known as a matrix. As Werner Heisenberg showed, each type of quantity you could observe (position, momentum, energy) is represented by a matrix as well (known as an operator). By multiplying the operator and the quantum state matrix in a particular way, you get the probability of a particular outcome. The wavelike behavior is a result of the multiple connections between states within the matrix.

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