Researchers demonstrate the bottom-up synthesis of InGaN nanowire photonic crystals with precisely controlled size, spacing, and morphology, which can serve as the fundamental building blocks of a new generation of photonic crystal devices and systems.
(Phys.org) —A mechanism of growth of anisotropic metal oxides that was predicted 20 years ago has been observed for the first time by researchers at the University of Bristol. The work is described in an article published this week in Science.
Paper has become a popular substrate for fabricating electronics – it is a cheap, abundant material and easy to print on. Electronics printed on paper are inexpensive, flexible, and recyclable, and could lead to applications such as smart labels on foods and pharmaceuticals or as wearable medical sensors. Paper has been used for printed memory,…
Contrary to the tremendous success story of electronic integration, photonic integration is still in its infancy. One the most serious obstacles it faces is the need to use a variety of materials to achieve different functions—unlike electronic integration. To complicate matters further, many of the materials required for photonic integration aren't compatible with silicon integration technology.
Researchers at Lehigh University have identified for the first time that a performance gain in the electrical conductivity of random metal nanowire networks can be achieved by slightly restricting nanowire orientation. The most surprising result of the study is that heavily ordered configurations do not outperform configurations with some degree of randomness; randomness in the case of metal nanowire orientations acts to increase conductivity.
Scientists have found a simple new way to produce nanoscale wires that can serve as bright, stable and tunable lasers - an advance toward using light to transmit data.
Brain-like Functions Emerging in a Metallic Nanowire Network—Emerging Fluctuation-based functionalities are Expected to Open a Way to Novel Memory Device Technology—An international joint research tea...
Physicists at the Technical University of Munich (TUM) have developed a nanolaser, a thousand times thinner than a human hair. Thanks to an ingenious process, the nanowire lasers grow right on a silicon chip, making it possible to produce high-performance photonic components cost-effectively. This will pave the way for fast and efficient data processing with light in the future.
abrication of the high-performance superconducting nanowire single-photon detectors in niobium nitride films, the films were modeled in a meandered nanowire as the active area of SNSPD. A microfiber of 1.3 μm in diameter
Nanowire Networks (NWNs) belong to an emerging class of neuromorphic systems that exploit the unique physical properties of nanostructured materials. In addition to their neural network-like physical structure, NWNs also exhibit resistive memory switching in response to electrical inputs due to synapse-like changes in conductance at nanowire-nanowire cross-point junctions. Previous studies have demonstrated how the neuromorphic dynamics generated by NWNs can be harnessed for temporal learning tasks. This study extends these findings further by demonstrating online learning from spatiotemporal dynamical features using image classification and sequence memory recall tasks implemented on an NWN device. Applied to the MNIST handwritten digit classification task, online dynamical learning with the NWN device achieves an overall accuracy of 93.4%. Additionally, we find a correlation between the classification accuracy of individual digit classes and mutual information. The sequence memory task reveals how memory patterns embedded in the dynamical features enable online learning and recall of a spatiotemporal sequence pattern. Overall, these results provide proof-of-concept of online learning from spatiotemporal dynamics using NWNs and further elucidate how memory can enhance learning. Designing efficient neuromorphic systems based on nanowire networks remains a challenge. Here, Zhu et al. demonstrate brain-inspired learning and memory of spatiotemporal features using nanowire networks capable of MNIST handwritten digit classification and a novel sequence memory task performed in an online manner.
Using bundles of vertical zinc oxide nanowires, researchers have fabricated arrays of piezotronic transistors capable of converting mechanical motion directly into electronic controlling signals. The arrays could help give robots a more adaptive sense of touch, provide better security in handwritten signatures and offer new ways for humans to interact with electronic devices.
(Phys.org)—A team of researchers with the Pohang University of Science and Technology in Korea has created organic nanowire synaptic transistors that emulate the working principles of biological synapses. As they describe ...
Significance Statement Reference Datta, A., Choi, Y.S., Chalmers, E., Ou, C., Kar-Narayan, S. Piezoe
In this study, we perform simulations to demonstrate neural oscillations in a single silicon nanowire neuron device comprising a gated p–n–p–n diode structure with no external bias lines. The neuron device emulates a biological neuron using interlinked positive and negative feedback loops, enabling neural oscillations with a high firing frequency of ~ 8 MHz and a low energy consumption of ~ 4.5 × 10−15 J. The neuron device provides a high integration density and low energy consumption for neuromorphic hardware. The periodic and aperiodic patterns of the neural oscillations depend on the amplitudes of the analog and digital input signals. Furthermore, the device characteristics, energy band diagram, and leaky integrate-and-fire operation of the neuron device are discussed.
Photonic crystal and nanowire combo advances 'photonic integration' Check more at https://scifeeds.com/news/photonic-crystal-and-nanowire-combo-advances-photonic-integration/
Researchers at the University of California Irvine have created nanowire-enhanced electrodes that can withstand 200,000 cycles without losing capacity. That makes the battery essentially last a lifetime before needing replacement. Typical rechargeable batteries in cellphones,
When superconductors encounter too much current, they can become resistive. Researchers can design microscopic electronic components that use this effect to create a switch, like a transistor. The resulting nanowire superconducting switching devices (called nano-cryotrons, or nTrons) show promise for future superconducting electronics or particle detectors.
A new type of atomic force microscope (AFM) uses nanowires as tiny sensors. Unlike standard AFM, the device with a nanowire sensor enables measurements of both the size and direction of forces. Physicists at the University of Basel and at the EPF Lausanne have described these results in the recent issue of Nature Nanotechnology.
The latest research from the Niels Bohr Institute shows that LEDs made from nanowires will use less energy and provide better light. The researchers studied nanowires using X-ray microscopy and with this method they can pinpoint exactly how the nanowire should be designed to give the best properties. The results are published in the scientific journal, ACS Nano.
