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.
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.
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 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.
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.
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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Researchers at Tokyo University of Science demonstrated a method for manipulating metallic chiral nanoparticles using circularly polarized light. By confining light to an evanescent field near the surface of ultra-thin optical fibers, they selectively transported left- and right-handed particles based on their chirality.
Researchers at Baylor College of Medicine developed new methods to study DNA management in bacteria, revealing that DNA shape and flexibility play critical roles in gyrase activity. The study identifies specific DNA sequences that guide gyrase binding and interaction with the enzyme.
A team of physicists has discovered a way to boost the intensity of high-power laser light, opening up new possibilities for experiments in quantum electrodynamics. The breakthrough uses an unusual process to create extremely bright ultraviolet light, which can be focused into a tiny point creating immense energy concentration.
Salk scientists and collaborators advance visualization technology using visible-spectrum antigen-stabilizable fluorescent nanobodies (VIS-Fbs), reducing background fluorescence by up to a hundredfold. The new probe enables high spatial and temporal precision, allowing for real-time tracking of dynamic changes in living models.
Researchers have developed a unified mathematical model explaining two types of 'breathing' solitons in ultrafast lasers, overcoming decades-old puzzle. The new framework accurately predicts complex behaviors and reveals underlying mechanisms.
Researchers develop signal-processing method to suppress distortions, achieving 6mm spatial resolution in single-ended Brillouin sensing. This enables early detection of damage or abnormal conditions in aging infrastructure.
The device exhibits outstanding performance across a broad optical spectrum, with high responsivity and specific detectivity. Its polarization-sensitive detection capability enables the direct deciphering of light's polarization state without external filters.
Researchers at Tohoku University developed an AI-based method integrating physics-based modeling for rapid screening of material candidates. The approach significantly improves accuracy by evaluating basic properties before predicting complex ones.
A team at Aalto University has developed a quantum-inspired algorithm that enables the solution of colossal problems in quantum materials. This breakthrough could lead to the creation of new quantum materials for use in quantum computers and dissipationless electronics.
Researchers at CU Boulder explore entangled particles for strong, adaptable materials. They found a 'two-legged' particle shape with optimal geometry delivers maximum entanglement, combining strength and toughness.
Researchers develop fluoride-engineered perovskite nanocrystal glass for high-efficiency, full-color emission and ultra-high-resolution holographic displays. The glass matrix enables stable and efficient photoluminescence of PNCs, driving the creation of high-quality dynamic displays.
Researchers have discovered a new understanding of skyrmions, highly stable structures that can be moved with minimal electrical current. This breakthrough has significant implications for nanocomputing and the development of ultra-power-saving devices.
Researchers have successfully created a high-efficiency quantum light source that emits bright lights even at room temperature using 2D semiconductors. The achievement is made possible by confining excitons in a tiny region via nanohole-induced confinement and neutralizing excess charges.
Researchers explore new design strategies for metasurfaces and BICs, enabling scalable light control and efficient optoelectronic platforms. These advances have practical implications for applications in lasing, sensing, nonlinear optics, wavefront shaping, and imaging.
By striking a gold nanorod off-center with an electron beam, researchers created rotating circular polarization in light, a property useful for controlling information encoding and transmission. This simple approach could enable new ways to encode, route, and process information using light.
Researchers at Ohio State University have discovered a new method for controlling superconductivity by manipulating the surrounding environment. By adjusting electron interactions, they were able to switch the material's superconductivity on and off, revealing a simpler way to control atomic power behind superconductivity.
Researchers developed a new imaging technique that captures both intensity and phase changes of an object in a single measurement. This allows scientists to observe ultrafast phenomena with unprecedented detail and speed, enabling the study of materials, biological processes, and high-power laser technologies.
Researchers developed a quasi-dynamic mathematical model to optimize Thermally Integrated Carnot Batteries (TI-CB) under fluctuating conditions typical of factory environments. The study yielded crucial insights, including a clear roadmap for handling off-design fluctuations, bringing Carnot batteries closer to widespread deployment.
A research team from Tokyo University of Agriculture and Technology has developed a new type of photodetector that achieves impressive responsivity and detectivity. The device uses highly ordered superlattices to overcome the limitations of traditional quantum dot-based photodetectors.
The study measures ultrafast electron dynamics in hydrogen molecules, observing oscillations in hole localization that depend on the delay between attosecond pulses. Entanglement occurs at the expense of electronic coherence in the remaining ion.
Researchers integrated topological photonics with nanoimprint lithography (NIL) to create a stable nanolaser. The work demonstrated type-III corner states and robustness against fabrication defects.
Researchers at the University of Rochester have developed a squeezed phonon laser that precisely controls individual particles of vibration or sound, allowing for accurate measurements of gravity and other forces. This technology has the potential to create more accurate, 'unjammable' navigation systems without relying on satellites.
Researchers from UCSB and UMass Amherst successfully integrated stabilized laser chips with a room temperature trapped ion qubit, enabling compact and portable quantum systems. This breakthrough paves the way for applications in quantum sensing, computing, and fundamental science.