Researchers developed a full-space adjoint topological optimization framework for meta-optics, achieving on-demand precise shaping of complex vector fields inside an optical cavity. This breakthrough overcomes limitations of conventional topological optimization and enables subwavelength-scale full-vector wave optimization.
Scientists create metasurface to generate singlet oxygen at molar-level concentrations, achieving six-orders-of-magnitude enhancement over conventional methods. This approach enables position- and pixel-selective cytotoxicity without additional molecular sensitizers.
A novel solar-thermal desalination process produces fresh water in an energy-efficient way, eliminating brine and chemical additives. The technology leverages the 'coffee ring' effect to extract salts from seawater, producing nearly 100% of the salts in solid form.
Researchers developed a system integrating convolutional neural networks and all-optical passive diffractive decoders for super-resolution image projection. The hybrid platform achieved significant improvements in image synthesis over extended depth, reducing data requirements without additional power constraints.
Researchers have developed an on-chip platform using ferroelectric spherulites to generate stable, broadband optical skyrmions across the entire visible spectrum. This breakthrough merges high-capacity data transmission with topological protection, opening new avenues for classical and quantum communication technologies.
Researchers developed an optically programmable dual-band perovskite single-pixel detector that acts as both a detector and decryption key, successfully encrypting color images with unparalleled security. The device's unique optical programmability enables it to distinguish between hidden information in different imaging modes.
Scientists develop on-chip system generating singlet oxygen at molar-level concentrations, exceeding conventional methods by six orders of magnitude. The approach enables position- and pixel-selective cytotoxicity without additional molecular sensitizers.
Scientists have developed a new form of covert communication called thermoradiative signatureless communication, achieved by balancing electroluminescence with negative luminescence in mid-infrared LEDs. This approach can blend into thermal background, leaving no trace for eavesdroppers and offering added security.
Researchers develop a powerful, compact solution for all-optical image processing using meta-operators that perform complex tasks like edge detection and 3D hologram reconstruction. The platform enables real-time computation without digital post-processing.
Researchers develop a novel adhesive based on liquid-like chalcogenide glass, enabling seamless bonding of high-index optical components and improving transmission and power delivery. The new material achieves significant enhancements in laser power delivery and durability under high-power conditions.
Researchers establish a population-dynamics framework to quantify Boltzmann behavior, introducing a stability rule and splitting factor for energy-level selection. This enables predictive design of dual thermally coupled architectures and phosphor-based thermosensing patches with high sensitivity and resolution.
Researchers developed a revolutionary solution for generating broadband, full-color optical skyrmions on a chip. Using on-chip ferroelectric spherulites, the team successfully generated skyrmions spanning the entire visible band and exhibited excellent topological stability.
A new method for measuring homogeneity in transparent cylindrical materials has been developed, allowing for non-destructive inspection without slicing. This approach significantly reduces costs and improves quality control, making it suitable for industries such as semiconductor manufacturing and medical imaging.
A team of scientists developed a wafer-level-manufactured meta-aspheric lens that achieves simultaneous wide field-of-view, ultrathin form factor, and high imaging quality. The design enables compact near-infrared imaging systems with robust performance in eye tracking, blood vessel imaging, and computational pixel super-resolution tasks.
A physics-guided neural network called SGARNet is developed to address challenges in lensless multi-core fiber imaging. It reveals the frequency-domain characteristic of honeycomb artifacts and introduces a SpectralGate module to selectively suppress artifact-related components, preserving useful image details.
Researchers have developed an electrically switchable continuous phase liquid crystal Fresnel zone plate, enabling efficient focus control for augmented reality headsets, compact cameras, and adaptive optical instruments. The device achieves a 80% increase in focal intensity compared to traditional binary Fresnel lenses.
Researchers have developed a single-pulse anisotropic amorphization lithography technique to create regular sheet-like structures inside all-inorganic dielectric crystals. The method uses ultrafast laser pulses to induce controlled phase transitions, enabling high-purity amorphization and precise control over structure formation.
Researchers developed curvature-optimized multilevel SERS substrates using femtosecond laser shaping, exhibiting enhanced Raman signal intensity and uniformity. The substrate features triple cross-scale structures with flexible shape parameters, promoting dimensionally ordered hot spots for improved detection sensitivity.
A new device combines high-performance single-photon generation with multidimensional state engineering, enabling flexible control over photon properties. The integrated platform delivers record-breaking source performance and opens up opportunities for resilient quantum entanglement and high-dimensional quantum communication.
Researchers developed a novel design paradigm for vectorial microlasers with designable topological charges using quasi-BIC Möbius-like correspondence in photonic-crystal slabs. This approach allows for programmable structured-light sources for integrated photonic circuits and multi-dimensional optical information encoding.
A team of scientists developed an AI-generated photonic (AIGP) framework that directly maps optical properties to subwavelength photonic structures using a latent diffusion model. The system achieves high-precision mapping, supports flexible design constraints, and possesses fuzzy search capability.
A new online platform enables non-experts to analyze complex OCT signals and generate realistic digital phantoms for optical cancer diagnostics. The platform's multimodal processing capabilities facilitate disease classification and tumor margin isolation.
Researchers have developed a novel approach to fabricate high-performance nanophotonic devices with record-breaking ultra-deep nanohole waveguides. The technique enables the creation of nanostructures with extreme depth-to-diameter ratios, overcoming long-standing limitations in single-pulse nanolithography.
Researchers developed a compact metasurface polarimeter for cancer tissue analysis, offering label-free imaging with reduced variability. The device's miniaturization opens the door to portable polarization-based confocal microscopy for routine histopathology screening.
Scientists have demonstrated a reconfigurable photonic circuit implementing wide class of complex unitary transformations via optical manipulation at three layers only. The platform enables flexible access to many co-propagating structured modes, making it suitable for applications in communication, information processing, and simulation.
Researchers have developed graphene-integrated microtube resonators with a unique lobe structure to improve optical modulation and detection. The design enhances axial mode quantization, allowing for efficient light localization and trapping within specific regions of the tube.
A new approach to ultrafast nonlinear frequency conversion using dissipative quadratic soliton physics enables simultaneous generation of bichromatic femtosecond pulse trains in a single quadratic nonlinear cavity. This innovation offers a scalable and efficient solution for diverse scientific and technological applications.
Researchers have developed a quantum-enhanced in-memory stochastic computing system based on a room-temperature quantum memory, leveraging intrinsic randomness to perform computations securely and efficiently. The system outperforms classical methods in terms of coincidence rates and processing speed.
Researchers developed a quantum-enhanced in-memory stochastic computing system for secure and efficient computation, leveraging room-temperature quantum memory. The system outperforms classical methods with improved coincidence rates and processing speed despite low retrieval efficiency.
A research team has successfully merged accidental BICs to create a broad momentum-space 'safe zone' for chirality, achieving high sensitivity and wide-angle robustness. This breakthrough paves the way for practical deployment of high-performance chiral photonic devices.
Researchers developed a dual-polarized asynchronous space-time-coding metasurface to control vortex electromagnetic waves, enabling high-dimensional multiplexing. This technology increases data rates and connectivity by exploiting three dimensions: OAM mode, polarization, and frequency.
Researchers developed a graphite addition method to fabricate high-performance silicon carbide optical mirrors. The approach reduces free silicon content by 18.18% and enhances overall performance.
Scientists developed a multifunctional molecule passivation strategy, achieving record-high EQE at 6,441 cd m^-2 and eliminating roll-off. The devices maintain 18.47% EQE at 9,587 cd m^-2 with nearly eliminated roll-off, showcasing improved optical performance.
Researchers have developed a novel all-optical method called laser optothermal nanobomb (LOTB) for efficient flattening of nanobubbles in 2D materials. The method leverages an optothermally induced phase transition and stress-pulling effect to remove gas from the bubbles, flattening the film without damaging its intrinsic properties.
Researchers developed a nanophotonic platform to generate quantum optical Stokes skyrmion states with controlled topological invariant, eliminating the need for post-selection. This enables robust morphing of quantum information into free-space.
A team of scientists has developed a new neural network called the mixture probability sampling network (MPSN) to create ultra-precision structural colors. The MPSN achieves high accuracy and diversity in solution output, overcoming limitations of existing methods.
The study achieves stable welding between sapphire and Invar under non-optical-contact conditions, with a maximum shear strength of 11.73 MPa. High-speed imaging techniques reveal the coupling of linear absorption and nonlinear absorption at the interface, sustaining plasma and energy deposition.
A novel neural illumination estimation and editing framework reconstructs coherent 3D light fields from a single view, achieving 17.0% improvement in image fidelity and demonstrating measurable improvements in perceptual realism for next-generation near-eye displays.
The study demonstrates simultaneous delayed fluorescence and phosphorescence in an organic luminescent material with multiple excited states. It reveals the existence of a second triplet state (T₂) and the competition between TADF and phosphorescence.
Scientists have developed a universal nano-amplifier strategy using plasmonic gold or silver nanocavities to overcome detection barriers in 2D materials. This breakthrough allows for the clear detection of layer-breathing modes in multilayer graphene, hBN, and their heterostructures.
Researchers developed a metastructure-based strategy for continuous color-gamut control, time-programmable modulation, and self-destruction capability. This enables high-resolution monochromatic and multicolor device printing and recognition of structural-color patterns for anti-counterfeiting labels.
Researchers have developed a sub-1-volt, reconfigurable Gires–Tournois resonator for full-colour monopixel reflective displays. The platform exhibits robust performance in achieving vivid colour modulation at sub-1-volt operation and enables uniform colour tuning within a single pixel.
Researchers developed scanning-exciton optical nanoscopy to map nanoscale light fields and local density of optical states simultaneously. The technique provides correlative mappings with a spatial resolution of few nanometers, unlocking new physics discoveries and technology breakthroughs.
Researchers have developed programmable 2D material–organic molecule hybrids with high efficiency and nanoscale spatial precision using DNA origami triangles. This approach enables the creation of arrays of solid-state single-photon-emitter ensembles with excellent spectral and intensity stability, opening a route toward miniaturized h...
Researchers developed flexible, stretchable on-chip optical tweezers (FSOT) that can trap a wide range of bioparticles across different size scales. The innovation enables high-throughput trapping beyond the diffraction limit, conformal operation on curved biological surfaces, and tunable inter-cellular interaction studies.
A recent paper introduces a novel optical neural network architecture that can accurately recognize target objects in the presence of multiple interferences. The system achieves high recognition accuracy across diverse scenarios, including complex settings with dynamic interferences.
Researchers have developed a monolithically integrated VCSEL technology achieving linewidth compression to approximately 1 MHz, enabling stable single-mode operation for precision applications. The device demonstrated impressive performance in a cesium vapor-cell atomic clock, with a frequency stability of 1.89×10^−12 τ^−1 /^2.
A new technique harnessing Fourier ptychographic microscopy and coherence scanning interferometry provides accurate 3D morphology measurements of high-aspect-ratio micro-trenches. The method achieves high lateral resolution without iterative phase retrieval, enabling robust characterization of complex structures.
A team of international researchers successfully demonstrates time-bin QKD over 120 km with an on-demand telecom semiconductor QD device. The system achieves exceptional stability and maintains high security key rates, making it suitable for real-world text message encryption applications.
Researchers develop an induced fit growth method for Ga-based semiconductor films, enabling controlled thickness and compact surface. The method promises versatile, multifunctional substrates for diverse applications, including optoelectronic devices and neuromorphic computing.