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Category: nanotechnology – Page 68

Inspired by nature, nanotechnology researchers have identified ‘spontaneous curvature’ as the key factor determining how ultra-thin, artificial materials can transform into useful tubes, twists and helices.

Greater understanding of this process—which mimics how some seed pods open in nature—could unlock an array of new chiral materials that are 1,000 times thinner than a , with the potential to improve the design of optical, electronic and mechanical devices.

Chiral shapes are structures that cannot be superimposed on their mirror image, much like how your left hand is a of your right hand but cannot fit perfectly on top of it.

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A pair of chemists at the University of Groningen in the Netherlands, has observed communication between rotors in a molecular motor. In their study, reported in the Journal of the American Chemical Society, Carlijn van Beek and Ben Feringa conducted experiments with alkene-based molecular motors.

Molecular motors are natural or artificial molecular machines that convert energy into movement in living organisms. One example would be DNA polymerase turning single-stranded DNA into double-stranded DNA. In this new effort, the researchers were experimenting with light-driven, alkene-based molecular motors, using light to drive molecular rotors. As part of their experiments, they created a motor comprising three gears and two rotors and observed an instance of communication between two of the rotors.

To build their motor, the researchers started with parts of existing two motors, bridging them together. The resulting isoindigo structure, they found, added another dimension to their motor relative to other synthesized motors—theirs had a doubled, metastable intermediary connecting two of the rotors, allowing for communication between the two.

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The electrocatalytic nitric oxide reduction reaction (NORR) has attracted significant attention as an ecofriendly alternative to the conventional Haber–Bosch process for producing ammonia (NH3). However, the poor selectivity to NH3 and low catalyst stability under harsh conditions are great challenges in NORR. Herein, the core–shell structure of nickel nanoparticles enclosed with a nitrogen-doped carbon layer (Ni@NC) electrocatalyst derived from covalent organic frameworks is employed for high performance in NORR. The Ni@NC-700 achieved the highest FENH3 of 82.94% with an NH3 yield rate of 19.00 μmol cm–2 h–1 at 0.16 V (vs reversible hydrogen electrode) in a 0.1 M HClO4 electrolyte. Control experiments revealed that nickel nanoparticles (Ni NPs) acted as active centers in Ni@NC for efficient production of NH3. The ideal carbon shell protection of Ni NPs and the high inherent catalytic TOF of Ni@NC-700 revealed a promising candidate for an efficient NORR electrocatalyst. The stability test demonstrated the remarkable stability of Ni@NC. The Ni NPs were protected by carbon nanostructures resembling core–shell catalysts, preventing metal dissolution during rough electrolysis.

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Catalysts unlock pathways for chemical reactions to unfold at faster and more efficient rates, and the development of new catalytic technologies is a critical part of the green energy transition.

The Rice University lab of nanotechnology pioneer Naomi Halas has uncovered a transformative approach to harnessing the catalytic power of aluminum nanoparticles by annealing them in various gas atmospheres at high temperatures.

According to a study published in the Proceedings of the National Academy of Sciences, Rice researchers and collaborators showed that changing the structure of the oxide layer that coats the particles modifies their , making them a versatile tool that can be tailored to suit the needs of different contexts of use from the production of sustainable fuels to water-based reactions.

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A group of Tohoku University researchers has developed a theoretical model for a high-performance spin wave reservoir computing (RC) that utilizes spintronics technology. The breakthrough moves scientists closer to realizing energy-efficient, nanoscale computing with unparalleled computational power.

Details of their findings were published in npj Spintronics on March 1, 2024.

The brain is the ultimate computer, and scientists are constantly striving to create neuromorphic devices that mimic the brain’s processing capabilities, , and its ability to adapt to neural networks. The development of neuromorphic computing is revolutionary, allowing scientists to explore nanoscale realms, GHz speed, with low energy consumption.

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The downscaling of electronic devices, such as transistors, has reached a plateau, posing challenges for semiconductor fabrication. However, a research team led by materials scientists from City University of Hong Kong (CityU) recently discovered a new strategy for developing highly versatile electronics with outstanding performance using transistors made of mixed-dimensional nanowires and nanoflakes.

This innovation paves the way for simplified chip circuit design, offering versatility and low power dissipation in future electronics. The findings, titled “Multifunctional anti-ambipolar electronics enabled by mixed-dimensional 1D GaAsSb/2D MoS2 heterotransistors,” were published in the journal Device.

In recent decades, as the continuous scaling of transistors and integrated circuits has started to reach physical and economic limits, fabricating in a controllable and cost-effective manner has become challenging. Further scaling of transistor size increases current leakage and thus power dissipation. Complex wiring networks also have an adverse impact on power consumption.

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The challenge of regulating the electronic structures of metal single-atoms (M-SAs) with metal nanoparticles (M-NPs) lies in the synthesis of a definite architecture. Such a structure has strong electronic metal-support interactions and maintains electron transport channels to facilitate carbon dioxide photoreduction (CO2PR).

In a study published in Advanced Powder Materials, a group of researchers from Zhejiang Normal University, Zhejiang A&F University and Dalian University of Technology, revealed the engineering of the of Pd single atoms with twinned Pd nanoparticles assisted by strong electronic interaction of the atomic metal with the support and unveiled the underlying mechanism for expedited CO2PR.

“As one of the most promising CO2PR semiconductors, polymeric graphitic carbon nitride (g-C3N4) featured with sp2 π-conjugated lamellar structures can offer electronegative nitrogen atoms to anchor M-SAs, forming active metal-nitrogen moieties (M–Nx),” explained Lei Li, lead author of the study. “However, stable M–Nx configurations forbid tunability of electronic structures of M-SA sites.”

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‘Opposites charges attract; like charges repel’ is a fundamental principle of basic physics. But a new study from Oxford University, published in Nature Nanotechnology (“A charge-dependent long-ranged force drives tailored assembly of matter in solution”), has demonstrated that similarly charged particles in solution can, in fact, attract each other over long distances. Just as surprisingly, the team found that the effect is different for positively and negatively charged particles, depending on the solvent.

The study found that negatively charged silica microparticles suspended in water attracted each other to form hexagonally arranged clusters. (Image: Zhang Kang)

Besides overturning long-held beliefs, these results have immediate implications for a range of processes that involve interparticle and intermolecular interactions across various length-scales, including self-assembly, crystallisation, and phase separation.

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The most popular words of 2023 were recently released, with AI Large Language Model (LLM) unquestionably topping the list. As a front-runner, ChatGPT also emerged as one of the international buzzwords of the year. These disruptive innovations in AI owe much to big data, which has played a pivotal role. Yet, AI has simultaneously presented new opportunities and challenges to the development of big data.

High-capacity data storage is indispensable in today’s digital economy. However, major storage devices like and semiconductor flash devices face limitations in terms of cost-effectiveness, durability, and longevity.

Optical data storage offers a promising green solution for cost-effective and long-term data storage. Nonetheless, optical data storage encounters a fundamental limitation in the spacing of adjacent recorded features, owing to the optical diffraction limit. This physical constraint not only impedes the further development of direct laser writing machines but also affects and storage technology.

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