Researchers discover finite barrier bound states (FBICs) in photonic crystals, exhibiting non-radiating properties and complete localization of boundary modes within few lattice sites. This breakthrough offers a novel approach to achieving BICs and fine control of boundary modes.
Scientists create a multispectral platform using tunable optical cavities with vanadium dioxide, enabling fast response speed and reversible manipulation. The platform achieves broadband color-changing capacity in the visible region and drastic amplitude tunability in infrared to microwave regions.
Researchers have developed a novel method for controlling light polarization using liquid crystals, allowing for dynamic manipulation of holographic images. This breakthrough has the potential to revolutionize various fields, including augmented reality, data storage, and encryption.
Researchers propose a scalable parallel scheme for ultrafast random bit generation using a single micro-ring resonator, enabling hundreds of independent and unbiased streams. The method reaches a 320 Gb/s generation rate per channel, with potential for further enhancement.
Recent research on direct laser writing (DLW) on halide perovskites reveals six interaction mechanisms between laser and perovskite. The technique's great potential for various applications is attributed to the flexibility of laser parameters and perovskite properties.
Researchers have developed a new approach to induce chiral response in non-Hermitian systems by exploring open evolution trajectories. Chiral conversion between localized modes is demonstrated, enabling high-efficiency transmission and relaxation of fabrication requirements.
A new excitation method called transient stimulated Raman scattering (TSRS) has been developed to achieve natural-linewidth-limit spectral lines with sub-mM sensitivity. TSRS uses broadband femtosecond laser pulse trains to manipulate vibrational wave packets in the time domain, enabling high-density Raman probes and barcode imaging.
A new holographic camera using a liquid lens and end-to-end physical model-driven network can capture high-quality holograms of real 3D scenes in 150 milliseconds. The camera solves two major bottlenecks of existing holographic technology, enabling fast acquisition and improved image quality.
A new Raman spectral preprocessing algorithm enhances biomedical applications by improving noise removal and baseline correction. The two-step strategy, RSPSSL, uses self-supervised learning to achieve high-fidelity denoising and visualization of clinical tissue samples.
Scientists develop innovative approach for hyper-spectral resolution and high-speed spectral acquisition using amplified femtosecond-pulse bursts. The technique offers high spectral resolution and motion-free scanning, promising applications in gas sensing, chemical analysis, and molecular dynamics tracking.
A team of scientists has created a highly flexible, uniformly luminescent photochromic fiber that can achieve uniform light emission and wide color gamut control. The fiber is designed to be mass-producible and integrated into various wearable interactive interfaces, enabling diversified interactions such as emotion and communication.
A new perovskite single-pixel detector efficiently extracts dual-color metasurface images in complex environments, leveraging wavelength-selective properties and high detection sensitivity. The system streamlines image extraction with no need for additional filters, reducing cost and time.
Researchers have successfully generated a stable high-intensity and high-repetition supercontinuum white light source in air using femtosecond laser filamentation with an external DC electric field. This method suppresses thermal jitter by generating an ionic wind, improving beam pointing stability and signal-to-noise ratio.
A team of scientists proposed a general deep learning framework based on DQN algorithm to efficiently design wavelength-selective thermal emitters (WS-TEs) with excellent performance for different applications. The framework autonomously selects materials and optimizes structural parameters for optimal emissivity spectra.
A new method combines a tri-channel chiral metasurface with a deep convolutional neural network to analyze polarizations, achieving fast, robust, and accurate measurements. This approach supports high spatial resolution requirements and compact design, enabling diverse applications in remote sensing, astronomy, biology, and microscopy.
Zero-index metamaterials (ZIMs) exhibit uniform electromagnetic field distribution over arbitrary shapes, enabling ultra-compact cloaking devices and arbitrarily shaped waveguides. Researchers have developed a highly homogeneous ZIM using high-permittivity materials, reducing its physical dimensions by threefold.
The study successfully manipulates distinct exciton species within a hybrid monolayer WSe2-Ag nanowire structure, exhibiting high coupling efficiency with surface plasmon polaritons. This breakthrough enables precise control over light emissions and paves the way for advanced optical and quantum applications.
Scientists have developed a method to construct high-dimensional quantum gates using diffractive neural networks, exhibiting ultrahigh fidelities. They successfully implemented various quantum gates and demonstrated the applicability of their approach by performing complex operations like the Deutsch algorithm.
Researchers developed submonolayer biolasers on optical fibers with ultrahigh Q-factors, achieving a six-order-of-magnitude improvement in lower limit of detection compared to monolayer biolasers. The sensors showed potential for high-throughput clinical diagnosis and cost-effective early disease detection.
A team of scientists has created a new optical neural network architecture that uses orbital angular momentum to learn data features of images, achieving high-precision intelligent encoding and decoding. This method has been tested with success in various tasks, including image classification and secure free-space transmission.
Researchers developed a physical image denoiser using diffractive layers to process noisy input images at the speed of light, preserving desired spatial features with minimal distortions. The all-optical approach offers ultra-high speed, compact size, and low power consumption, paving the way for various inverse problems in imaging and...
Researchers develop efficient TADF or RTP materials by regulating energy differences between triplet states, leading to controlled transitions of triplet excitons. By tuning conjugated structures and stacking modes, they achieve precise management of triplet excitons.
Researchers developed highly efficient photo split, near-infrared upconversion emission and suitable temperature sensing for thermal management in silicon-based solar cells by adjusting Er³⁺/Yb³⁺ doping concentrations in NaY(WO₄)₂ phosphor. An efficiency of up to 173% was achieved.
Researchers at Light Publishing Center created a thin disk oscillator to generate 100-W high-power optical vortex beam. The technique uses transverse mode competition and control to achieve high power output, enabling efficient material processing and exploring new parameter space associated with structured light.
A team of scientists developed a method using Bessel beam illumination to measure the internal structure of seven-core fibers with high precision. The approach provides sharper fibre core patterns and higher image contrast compared to traditional methods.
Researchers developed a cholesteric phase liquid crystal polymer (CLCP) visual sensing platform utilizing geometric phase coding for real-time visual patterns. The system generates image-based sensing signals through distinct visual patterns, offering an intuitive alternative to conventional methods.
Researchers developed a new energy-efficient way to generate highly focused and finely controlled X-rays. The novel method uses electron waveshaping to produce X-rays with increased intensity and tunability.
Researchers studied electron tunneling via neighboring atoms in van der Waals complexes, revealing two capture effects and a new understanding of Coulomb interactions. This discovery has implications for quantum physics, nanoelectronics, and ultrafast optoelectronic devices.
A team of scientists developed a color liquid crystal grating based 3D display system with a large viewing angle, eliminating chromatic aberration. The proposed system enables vivid reconstruction of 3D color objects without limitations.
A team of scientists introduced a novel method to map local quality at super-resolution scale, enabling unparalleled resolution mapping and accurate error estimation. The technique, PANEL, was applied to various imaging approaches and showed improved SR image quality.
A new NIL Metalens array enables the creation of next-generation true-3D near-eye displays with high resolution and wide field of view. The metalens array combines a commercial micro-display and achieves a see-through effect for augmented reality applications.
A new system-on-chip employs silicon photonics to process broadband information, reducing latency through direct analogue processing. The device successfully tested in two dynamic interference scenarios, demonstrating error-free operation and maintaining signal-to-noise ratios over 15 dB.
Researchers demonstrate a new method to synthesize complex-frequency waves (CFW) to amplify molecular signals in graphene-based surface-enhanced infrared absorption (SEIRA). This approach increases the sensitivity of traditional SEIRA technologies, enabling the detection of trace molecules currently undetectable. CFWs enhance molecular...
Researchers have developed a new approach to creating liquid-crystal phase modulators that are polarization-independent and can achieve large phase depths. The devices use a light-controlled azimuth angle (LCAA) process to create multi-microdomain, orthogonally twisted structures with precise alignment.
Researchers have developed a low-cost and user-friendly technique called UV-LED-based microscope projection photolithography (MPP) for rapid high-resolution manufacturing of optical elements. This approach can fabricate features down to 85 nm, comparable to expensive methods like multi-photon and electron beam lithography.
Researchers reviewed various deep learning methods for phase recovery, highlighting their potential and limitations. They suggest combining physical models with deep neural networks for improved results.
Researchers developed a method to measure enhanced light interaction at the nanoscale using single molecules as probes, achieving a 30-fold enhancement in radiative decay rates. This breakthrough provides precise control of bright single-photon emission sources and deepens understanding of nanophotonic interactions.
A team of scientists has developed a new approach to form gold nanoparticles in tellurite glasses, enabling precise control over their formation and plasmonic properties. This innovation has potential for real-world impact in exciting photonics research and applications.
Waveguide combiners enable lightweight, high-performance augmented reality displays with expanded field of views. Designing waveguide combiner technology poses several challenges, including optimizing optical performance, manufacturability, and cost.
Researchers developed an innovative reflective display method using electro-microfluidic assembly of particles, enabling multicolored displays with high reversibility and viewing angles. The technique offers advantages in fabrication, response speed, and color performance, making it a promising candidate for green display technology.
Researchers developed an all-inorganic nano-heterostructure luminant with enhanced sensitivity, stability, and efficiency, paving the way for multifunctional optical control devices. The 0D/2D configuration enables polarized blue fluorescence and multifunctional capabilities.
Researchers develop pH-responsive helical hydrogel microswimmers that can traverse complex terrains and deliver drugs to targeted cells. The microswimmers change shape in response to environmental pH levels, enabling adaptive locomotion.
Researchers have developed a new approach to polarization-independent liquid-crystal phase modulation using a light-controlled azimuth angle (LCAA) process. This process creates single-layer, multi-microdomain, orthogonally twisted structures with precise alignment, enabling high phase retardation and low polarization dependence.
A team of scientists has developed new packaging technologies using TPL to address the challenges of photonic integrated circuits (PICs). The technology offers several unique advantages, including high-resolution 3D structures and customizable connections, which relax the alignment tolerance during PIC assembly.
Scientists have developed a low-cost and user-friendly technique called UV-LED-based microscope projection photolithography (MPP) for rapid high-resolution manufacturing of optical elements. MPP can fabricate microfluidic devices, biosensors, and other optical devices with feature sizes down to 85 nm.
Vectorial adaptive optics (V-AO) corrects both polarization and phase aberrations, improving optical resolution and accuracy. The new technique is poised to revolutionize the optics community with its potential in enhancing system performance and enabling new applications.
Researchers at Khalifa University have developed state-of-the-art contact lenses that respond to both UV light and temperature changes. These smart lenses, incorporating photochromic and thermochromic powders, can block up to 45% of UV radiation and filter out blue light.
A team of researchers has developed a fast method to track surface location and adjust optical focus simultaneously without mechanical movement. The dynamic z-scanning technique reduces defocused laser pulses and increases processing speed when processing non-flat or changing samples.
The E2E-BPF microscope overcomes traditional microscopes' limitations by extending depth-of-field using a learning-based binary phase filter and image deconvolution. This enables high-resolution imaging over larger spatial scales, reducing the need for refocusing.
Researchers developed CRISPR-powered optothermal nanotweezers (CRONT) that can trap and enrich bio-nanoparticles, including gold nanoparticles and DNA molecules. The technique achieves single molecule level SNP detection with ultra-low detection volume, making it suitable for point-of-care diagnosis and biophotonics.