Articles tagged with Applied Physics
A new material system has been developed to bypass limitations in spin-orbit torque magnetic random-access memory, enabling highly efficient orbital torque-driven magnetic tunnel junctions and solving critical yield bottlenecks.
Researchers have successfully demonstrated a new type of laser that uses a buried dielectric platform to create a non-periodic structure, offering versatility and geometry independence. The innovation could lead to more reliable and better-performing high-performance lasers.
Researchers at CU Anschutz and CU Boulder developed a miniature microscope that allows observing and activating individual brain cells during natural movement. This advancement could accelerate research into brain behavior and neurological diseases.
Researchers explored how the term Busseiron, meaning 'theory of the properties of matter,' became an established discipline in Japan. The study found that its scope expanded over time, absorbing new topics and forming a durable branch of physics.
A feasible scheme is proposed to realize self-healing skin modes in photonic Floquet lattices via local potential at remote end. The researchers demonstrated the skin mode tunability (SMT) mechanism, which can spectrally isolate a specific skin mode and turn it into a self-healing state.
Light-field microscopy (LFM) enables snapshot volumetric acquisition, allowing for faster synchronous three-dimensional information. Recent advances have made LFM practical for high-speed neuroimaging, particularly in calcium imaging and voltage imaging.
Researchers have developed a new photonic architecture that enables scalable spatiotemporal interleaving networks for high-density integrated photonic convolution. The SPIN (Spatiotemporal Photonic Interleaving Network) framework reduces waveguide complexity and increases programmability in wavelength-domain interleaving, enabling comp...
Researchers designed a compact, optically addressed programmable metasurface using VO2-based phase change materials. The device enables pixel-level independent encoding and dynamic generation of THz wavefronts for various applications including zoom meta-lensing, vortex beams, and holography.
Researchers found that smaller crumpled sheets exhibit higher load-bearing capacity than larger ones, with denser internal ridge networks playing a key role. The team identified a universal evolution pathway governing the formation of ridges and junctions under compression.
Researchers at University of Witwatersrand have discovered that quantum information can be kept intact even when transmitted through turbulent environments. This breakthrough enables the use of twisted light to create high-capacity communication networks and ultra-resilient quantum computers.
The study reveals that the amount of available resources determines whether an organism relies on its memory or makes decisions based on current sensory input. Memory becomes most useful when sensory information is moderately uncertain, providing a significant improvement in performance.
Researchers from the University of Toyama developed an OLED that incorporates a crystalline rubrene thin film, achieving higher current density and reduced luminance turn-on voltage. The study suggests that organic crystals with high charge-transport properties can be integrated into practical thin-film OLEDs.
USC researchers have been selected for the U.S. Department of Energy's Genesis Mission to harness artificial intelligence for scientific discovery and innovation. Two projects led by USC will explore ways to develop faster and more energy-efficient computing hardware and better understand the natural concentration of critical minerals.
A team of researchers from Chiba University developed a method to monitor laser ablation in real time by detecting tiny push-back forces during laser cutting. By tracking the recoil force, they can sense depth and detect completion in real time, allowing for precise control over the process.
Researchers at Harvard's SEAS have created unique machine-knitted fabrics that 'snap' between multiple stable shapes, exhibiting multistability. The team embedded fine conductive yarns to create soft, stretchable electric switches that change state as the textile snaps back and forth.
Researchers create collapsible scissored surfaces based on networks of interconnected scissor mechanisms that can transform into curved surfaces. The new approach completes a trilogy of metamaterial design principles: origami (folds), kirigami (cuts), and pantograph lattices (linkages).
Researchers developed a platform to move Dirac points in momentum space, allowing for free sound steering. Two fully passive devices were built: a scanning topological antenna and an angle-tunable Klein tunneling device.
USC is leading a national research team developing AI to predict turbulence, a challenge in physics and engineering that affects technologies daily. The approach could make scientific simulations faster and more accurate, enabling researchers to tackle complex problems.
Two Lehigh University AI projects have been selected for funding from the Department of Energy's Genesis Mission. The RIVER-AI project will improve flood- and water-level prediction, while the REACT project aims to accelerate reactor-scale fusion energy by developing an AI-enabled digital twin. These awards strengthen Lehigh University...
Researchers at Adelaide University developed a laser-based technology to detect toxic methanol in sealed spirit bottles, even through colored glass. The system uses Raman spectroscopy to identify the unique chemical 'fingerprint' of a liquid through its packaging.
Researchers have developed ultrathin, invisible on-skin electrodes that can measure biological signals without altering appearance or social interactions. These new sensors achieve this by closely matching the appearance and texture of natural skin, reducing reflections and eliminating visibility.
The University of Rochester-led NSF STELLAR Engine launches to strengthen US competitiveness in global markets by advancing lasers and laser application research. The project aims to bring New York laser research, development, and manufacturing to a scale that can compete globally.
Researchers developed a technology to stack ultrathin semiconductor chips with improved integration density, overcoming challenges of chip thickness and warpage. The process enables the reliable stacking of over ten chips, potentially leading to significant improvements in AI semiconductor performance.
Researchers at the University of Würzburg have developed components that can reproduce key functions of neurons and synapses, enabling adaptive electronics. These brain-inspired components use complex oxide materials to create 'electron highways' that can be precisely controlled, allowing for targeted training and adaptation.
Physicists have identified two new superconductors, YRu3B2 and LuRu3B2, using machine-learning to filter material combinations. This breakthrough aims to find a room-temperature superconductor, which could slash global energy consumption and reduce the heat footprint of ICT sector.
Researchers have introduced laser reflective tomography to overcome the speed-resolution trade-off in NLOS imaging, achieving kilometer-scale high-resolution imaging without scanning mechanisms. This innovative approach combines single-point detection with multi-angle projection data for accurate scene reconstruction.
A pilot study found that an examiner-worn, neck-mounted camera can supplement the observation and review of clinical skills during OSCE assessments. The results showed moderate to strong agreement between live and video-based assessments, with the wearable camera enabling more observations to be evaluated than the fixed camera.
Researchers at Texas A&M University develop a laser technique called TRIP to directly measure quantum forces shaping proteins, enabling accurate prediction of how pharmaceutical drugs interact with them. This breakthrough could lead to the design of medicines tailored to specific diseases, revolutionizing precision medicine.
Researchers have created stable patterns of light called optical skyrmions using a laser and a small circular disc, generating up to four related topological field patterns simultaneously. This method offers a simpler way to generate, study and adjust optical skyrmions, which hold potential for future data storage and computing systems.
Researchers at WVU are developing new laser-based techniques to observe plasma behavior in unprecedented detail, allowing them to examine how charged particles and energy move between plasmas and material surfaces. This study could lead to improved understanding of plasma sheaths and their role in surface wear and material lifetime.
Researchers developed a non-contact optical sensing strategy to detect ethanol molecules in air using light-field distortions and deep learning. The system employs a graphene-based Fresnel lens to focus light through interference, capturing minute changes in the focal spot formed by the lens.
The University of Hong Kong hosted a Super Angel and Going Global Innovation Forum in Qianhai, Shenzhen, to foster collaboration and drive global expansion for high-potential ventures. The event highlighted the growing importance of internationalization amid a rapidly evolving global innovation landscape.
Researchers at Harvard's SEAS have developed a highly sensitive calorimeter that can detect metabolic heat signals on the order of 100 picowatts in living cells. The device tracks the growth of small populations of bacteria in real-time, including monitoring how bacterial growth changes in response to different antibiotics.
Researchers from CUHK develop an integrated all-optical signal processor that corrects distorted signals in real-time, improving communication efficiency between servers and data centres in large-scale AI systems. The OSP achieves aggregate data rates of 1.6 Tb/s with latency below 60 picoseconds and low energy consumption.
Researchers developed a lock-in thermography-based method to rapidly characterize structural imperfections in freestanding oxide membranes. The study found distinct thermal responses for different types of defects, including microcracks and wrinkles, enabling efficient defect screening and quality evaluation.
A team at Polytechnique Montréal has developed a new material that enables direct light processing on silicon chips, reducing the need for signal conversion and amplification. This breakthrough could help sustain the next wave of AI at scale by giving light a larger role in data processing.
A novel thermal transport phenomenon is discovered in an actively controlled system, where heat continuously accumulates towards one boundary, forming a robust temperature localization profile. The phenomenon exhibits remarkable robustness against external disturbances and topological transitions.
A new framework combines a custom-built training dataset with transfer learning to improve the detection accuracy of small and distant objects in omnidirectional videos. The proposed model achieved an overall accuracy of 90%, significantly higher than conventional models for small moving objects.
A research team has achieved a major breakthrough in characterizing altermagnets, a newly discovered class of magnetic materials. They successfully visualized magnetic domains in RuO2 using lock-in thermography and the spin-dependent Peltier effect, resolving long-standing challenges in this emerging field.
A new approach enables computers and machines to capture images at higher resolution and faster speed, making it impervious to reflective surfaces. The technology uses a virtual screen created by repurposing the surroundings of specular objects.
Researchers at MIT have developed a technique to create nanoscale features in hydrogel materials, shrinking them down to 100 nanometers or smaller. This allows for the creation of photonic devices that can manipulate visible light, enabling optical computing and potential applications in high-speed imaging and information processing.
Researchers introduce a novel approach to enhance solar thermal energy storage efficiency by anchoring the phase-change front, preventing its accumulation at the source. The continuous-flow system delivers a charging power of 0.54 kW and a solar thermal storage efficiency of 49.7%, outperforming conventional diffusion-limited approaches.
Scientists have successfully measured incredibly small amounts of energy using a novel calorimeter technique, achieving a world-first in sensitivity. The breakthrough could pave the way for counting individual photons and detecting elusive dark-matter axions in space.
AiiDAlab simplifies material research and simulations by automating workflow management, analysis, and visualization. Researchers can now focus on gaining new insights without requiring advanced computing skills.
Researchers developed a compact silicon photonic 'Vernier Caliper' spectrometer with near-uniform resonator responses across a broad wavelength range. The device resolves fine spectral peaks as little as 0.74 pm, outperforming commercial benchtop spectrometers in accuracy.
A global research team developed an 'All-Surface' 3D laser patterning technique to directly draw highly conductive carbon circuitry on transparent glass. This technology overcomes conventional 2D lithography limits, enabling the fabrication of complex 3D interconnected electrodes and redistribution layers.
Scientists have successfully demonstrated atomic spin qubit interaction with a single-quantum sound wave, opening up new possibilities for quantum information storage and sensing applications. The experiment uses phonons to interact with atomic defects in diamond, enabling precise measurement of forces and temperatures.
Researchers at Yokohama National University have developed a new fiber-optic sensing method that uses electrical-domain interference to detect strain and displacement. The approach exploits relative modal delays in polymer optical fibers, resulting in measurable dips in the electrical-frequency domain.
Dr. Yannik Zobus's LASE-FUSE project aims to develop a comprehensive, modular simulation framework for fusion laser systems, enabling holistic modeling and virtual optimization of complex systems. The project will receive three million euros in funding over five years through the 'Fusionstalente' program.
Professor Krausz's election is a recognition of his pioneering attosecond metrology, enabling the observation of electron dynamics on their natural timescales. He has opened new frontiers in physics, chemistry, and materials science with far-reaching implications for fundamental research and technological innovation.
Researchers at TU Wien have demonstrated a remarkable mineralogical mechanism where certain minerals convert CO2 into solid carbonate quickly, mediated by water. This process enables rapid CO2 capture and storage in rocks, potentially solving the issue of atmospheric CO2 removal.
The Harvard-led team demonstrates a micron-scale photonic device that generates two orders of magnitude more UV light on a chip than previous approaches. By converting red light to UV light through frequency upconversion, the researchers create high-power, low-loss, compact UV sources.
Researchers introduce generalized perfect spatiotemporal optical vortices with topological-charge-independent sizes and fully controllable geometric shapes. The new method achieves higher modulation efficiency and improved energy utilization, exceeding 90%.
Researchers discovered that ultrasoft elastic materials generate a V-shaped wake similar to boat wakes, blurring the distinction between wave behavior on solids and fluids. This finding could lead to new approaches for soft-tissue diagnostics and understanding the properties of natural and engineered soft materials.
Researchers developed a fleet of cooperative robots that, like ants, can spontaneously organize to build and dismantle structures without central control. They identified key parameters needed for excavation and building performance using simple local rules.
Harvard engineers develop new method to preserve long molecular chains in natural rubber, resulting in composite materials that are both stiff and tough. The innovation has the potential to cut waste, reduce tire dust pollution, and open new avenues for high-performance elastomers.
Researchers developed a machine learning approach to analyze Fermi surface images, identifying compositions with significant changes and nodal lines. The method accurately detects outliers, enabling efficient screening of large datasets for desirable electronic properties.
Researchers leveraged a surprise discovery to devise a new bioimaging method that captures 3D images of the human blood-brain barrier 25 times faster than existing technology. This technique enables scientists to test whether new drugs for neurodegenerative diseases reach their targets in the brain.
A team of researchers at The University of Osaka has created a wireless EEG transmission system that can operate without external power sources. The system harnesses energy from the temperature difference between the human body and surrounding air, allowing it to function reliably even in hot summer conditions.
The new facility enables scientists to observe and measure detonation forces in unprecedented detail, shedding light on industrial safety risks and potential breakthroughs. Researchers aim to develop safer designs and protocols by examining detonation disasters like the Buncefield Fire.