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Category: nanotechnology – Page 68

A team of researchers has reviewed a unique method for reforming the structures of ultra-small nanomaterials. These nanomaterials, called metal nanoclusters, bridge the gap between the metal atom and the bulk metal, making them highly useful in both basic and applied research. Metal nanoclusters have the potential for wide-ranging applications in the biomedical fields.

The team’s review paper is published in the journal Polyoxometalates.

The team investigated the phosphine-LEIST reaction. This method shows advantages in nanoclusters’ structural modification and property modulation. “The method we reviewed is able to modulate the atomically precise structure of metal nanoclusters and regulate their corresponding performance,” said Man-Bo Li, a professor at Anhui University, China.

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Researchers have demonstrated a programmable nano-scale robot, made from a few strands of DNA, that’s capable of grabbing other snippets of DNA, and positioning them together to manufacture new UV-welded nano-machines – including copies of itself.

The robots, according to New Scientist, are created using just four strands of DNA, and measure just 100 nanometers across, so about a thousand of them could squeeze up into a line the width of a human hair.

The team, from New York University, the Ningbo Cixi Institute of Biomechanical Engineering, and The Chinese Academy of Sciences, says the robots surpass previous efforts, which were only able to assemble pieces into two-dimensional shapes. The new bots are able to use “multiple-axis precise folding and positioning” to “access the third dimension and more degrees of freedom.”

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On the highway of heat transfer, thermal energy is moved by way of quantum particles called phonons. But at the nanoscale of today’s most cutting-edge semiconductors, those phonons don’t remove enough heat. That’s why Purdue University researchers are focused on opening a new nanoscale lane on the heat transfer highway by using hybrid quasiparticles called “polaritons.”

Thomas Beechem loves . He talks about it loud and proud, like a preacher at a big tent revival.

“We have several ways of describing energy,” said Beechem, associate professor of mechanical engineering. “When we talk about light, we describe it in terms of particles called ‘photons.’ Heat also carries energy in predictable ways, and we describe those waves of energy as ‘phonons.’ But sometimes, depending on the material, photons and phonons will come together and make something new called a ‘.’ It carries energy in its own way, distinct from both photons or phonons.”

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In the era of big data and advanced artificial intelligence, traditional data storage methods are becoming inadequate. To address the need for high-capacity and energy-efficient storage solutions, the development of next-generation technologies is crucial.

Among these is resistive random-access memory (RRAM), which relies on altering resistance levels to store data. A recent study published in the journal Angewandte Chemie details the work of a research team who have pioneered a method for creating supramolecular memristors, one of the key components in the construction of nano-RRAM.

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With a hydrogen production rate of 139 millimoles per hour and per gram of catalyst, the material holds the world record for green hydrogen production with sunlight.

Scharfsinn86/iStock.

Professor Emiliano Cortés, a leading figure in experimental physics and energy conversion at LMU, and Dr. Matías Herrán, a postdoc researcher at the Fritz Haber Institute of the Max Planck Society, delved into the intricate world of nanotechnology to develop high-performance nanostructures that could revolutionize solar energy utilization.

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An international research team led by quantum physicist Markus Arndt (University of Vienna) has achieved a breakthrough in the detection of protein ions: Due to their high energy sensitivity, superconducting nanowire detectors achieve almost 100% quantum efficiency and exceed the detection efficiency of conventional ion detectors at low energies by a factor of up to a 1,000.

In contrast to conventional detectors, they can also distinguish macromolecules by their impact energy. This allows for more sensitive detection of proteins and it provides additional information in mass spectrometry.

  • Breakthrough in protein ion detection using superconducting nanowire detectors, significantly outperforming conventional methods.

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    • A researcher has just finished writing a scientific paper. She knows her work could benefit from another perspective. Did she overlook something? Or perhaps there’s an application of her research she hadn’t thought of. A second set of eyes would be great, but even the friendliest of collaborators might not be able to spare the time to read all the required background publications to catch up.

    Kevin Yager—leader of the electronic nanomaterials group 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—has imagined how recent advances in artificial intelligence (AI) and machine learning (ML) could aid scientific brainstorming and ideation. To accomplish this, he has developed a chatbot with knowledge in the kinds of science he’s been engaged in.

    Rapid advances in AI and ML have given way to programs that can generate creative text and useful software code. These general-purpose chatbots have recently captured the public imagination. Existing chatbots—based on large, diverse language models—lack detailed knowledge of scientific sub-domains. By leveraging a document-retrieval method, Yager’s bot is knowledgeable in areas of nanomaterial science that other bots are not.

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    A research group has made new insights into how locomotion occurs in bacteria. The group identified the FliG molecule in the flagellar layer, the ‘motor’ of bacteria, and revealed its role in the organism. These findings suggest ways in which future engineers could build nanomachines with full control over their movements.

    The researchers, who were led by Professor Emeritus Michio Homma and Professor Seiji Kojima of the Graduate School of Science at Nagoya University, in collaboration with Osaka University and Nagahama Institute of Bio-Science and Technology, published the study in iScience.

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