Researchers developed a novel β-Ga2O3 photo-synapse that uses self-trapped holes to achieve improved stability and performance. The device exhibited excellent short-term and long-term plasticity, outperforming previous devices, and was integrated into neuromorphic machine vision systems for diversified in-sensor computing tasks.
A new method using femtosecond lasers enables the fabrication of ultrafine quantum-dot pixels with high precision and color purity for micro-LEDs. The method produces well-defined monochromatic red and green arrays with clear boundaries, achieving luminous uniformities of 90% and 97%.
Researchers summarize a systematic overview of polarization optical metrology for linear birefringence in transparent anisotropic media. The review discusses physical origins, measurement methods, and applications, including residual stress analysis, advanced material characterization, and biomedical imaging.
A team of researchers created a micro-3D-printed, monolithic optical system that co-integrates micro-scale imaging and ring-illumination in a single fiber bundle endoscope. The compact system achieves a resolution of micro-scale imaging in air and biomedical liquids, enabling future endoscopes for less invasive imaging procedures.
A new platform using liquid-crystal Poincaré-sphere-connected diffractive neural networks enables large-scale photonic in-memory computing with minimal data-movement overheads and ultralow static power. It achieves a 100,000-fold improvement in memory capacity over state-of-the-art platforms.
A new LiDAR system enables simultaneous 3D imaging and multi-parameter sensing for electric vehicle safety. The system accurately measures temperature, gas concentrations, and liquid density, and has potential applications in new energy vehicles and spacecraft.
Researchers develop a dual-functional metasurface that achieves high holographic efficiency while enabling structural color printing. The metasurface displays vivid structural colors and reconstructs holographic images with high efficiency across a broad range of visible wavelengths.
Researchers developed flexible Te/PET films for ultrafast all-optical terahertz modulators, achieving high modulation depth and ultrasensitive response. The device maintained stable performance under bending deformation, enabling reliable information processing for intelligent sensing and neuromorphic optoelectronic systems.
A team of scientists developed a high-throughput platform to fabricate optical neural networks at visible wavelengths, achieving record speeds and low energy consumption. Four million neurons were printed on a millimeter-scale chip in just 15 minutes.
The integration of carbon dots with nanowires overcomes aggregation issues, enabling precise spectral filtering and optical confinement for enhanced photoluminescence. This scalable host-guest architecture offers a powerful platform for nanophotonic light sources in sensing, communication, and quantum technologies.
A new metalens array architecture eliminates vergence-accommodation conflict and offers a wide field of view, achieving a 50° FOV 3D display. The system is highly scalable, with simulations indicating a 86° FOV limit.
The PH-LITES sensor uses parallel heterodyne LITES to detect multiple gases simultaneously, achieving record-high OPL/V and significantly enhancing gas absorption signals. It enables high-speed detection capability through parallel heterodyne modulation and accurate mapping of gas concentrations from a single QTF output.
Researchers developed an AI-driven framework for designing thermochromic smart windows with enhanced directional privacy protection and efficient thermal management. The smart windows can adapt to various climates and reduce energy losses in buildings, offering significant energy savings.
Researchers propose a reconfigurable ferroelectric chiral nanostructure for fast-switchable optical differentiation, achieving remarkable performances in edge detection. The device can switch between optical differentiation and bright-field imaging, with a switching time of 62 microseconds.
The team demonstrated ultrahigh Q integrated germano-silicate microresonators on silicon using flame hydrolysis deposition, achieving a propagation loss as low as 0.07 dB per metre. This work brings fibre-level low loss to photonic chips, enabling scalable and deployable chip systems for next-generation applications.
Researchers developed an AI-driven framework for thermochromic smart windows, achieving ultrahigh simultaneous modulation of near-infrared and longwave infrared emissions. The smart window enables climate-adaptive thermal management without compromising commercial privacy protection.
Researchers developed high-efficiency and stable deep-blue OLEDs using iridium phosphorescent complexes with enhanced charge transfer dynamics. The devices achieved maximum external quantum efficiencies of up to 29.0% and demonstrated operational stability, paving the way for next-generation microdisplay and display technologies.
A new framework models and optimizes radiative cooling under haze conditions, finding haze selectively scatters sunlight more strongly than it degrades infrared thermal radiation. This asymmetry shifts design priority, recommending coolers maximize infrared emission under haze-polluted skies.
Researchers create a new class of narrowband emission materials by optimizing the structure of molecules in aggregates. The FWHM of PDBP-b,i reaches 13 nm, demonstrating an ultra-narrow emission with excellent optical performance.
Researchers introduce interferometric scattering-based optical tomoslicing, controlling scattering to shape transparent solids. They achieve precise manufacturing, cutting solids into ultrathin crystalline wafers with kerf widths as narrow as 7 nm.
A new paradigm addresses challenges in distributed acoustic sensing by combining physical models with AI-driven generative modeling and denoising. The framework achieves high accuracy in fault diagnosis and event recognition, opening up scalable and precise acoustic monitoring for industrial safety and infrastructure applications.
A team of scientists has developed an implantable optical fiber electrochemical sensor to monitor state-of-charge in sodium-ion batteries. The sensor achieves sub-micron spatial resolution and refractive index resolution of 10^-6 RIU, allowing for precise tracking of ion kinetics.
A team of scientists proposes a dispersion-assisted polarization engineering strategy to achieve high-purity linearly polarized emission from compact BIC lasers. The approach relies on far-field beam-polarization matching, resulting in consistent linear polarization across the entire beam cross-section. Experimental validation demonstr...
A US team has created an integrated manufacturing framework to produce atomic-scale optics for next-generation light sources. The pipeline links atomic-scale fabrication and precision metrology to in-situ X-ray beam validation, achieving deterministic delivery of nanofocusing mirrors.
Researchers develop platform generating complex VOFs with spatially tailored wavefront profiles and polarization distributions, showcasing exceptional capabilities in multifunctional beam shaping and complex wavefront engineering. The platform enables independent control over amplitude, phase, and polarization of radiation fields.
FPP is evolving from geometric triangulation to light transport analysis with AI and CI, expanding its capabilities beyond shape acquisition. The new framework enables a deeper understanding of light transport, material properties, and scene formation mechanisms, opening opportunities for intelligent perception technologies.
Researchers have developed a novel perovskite photodetector structure, combining two materials with different bandgaps to enhance current flow. The 'chocolate-chip-cookie' design allows for efficient charge transfer and photocarrier generation, enabling fast photoresponse and linear dynamic response.
Researchers develop a physics-data co-driven deep neural network that captures underlying physical characteristics of coupled resonant systems using coupled mode theory-generated datasets. This approach enables accurate retrieval of intrinsic resonant frequency, coupling strength, and transmission phase in complex systems.
Researchers have developed a novel solution for dynamic terahertz wavefront control using stretchable single-walled carbon nanotube-based metasurfaces. The devices enable focal-length-tunable and beam-steering capabilities through simple mechanical deformation, opening up new avenues for smart and wearable THz components.
A new platform enables high-performance single photons with exceptional purity and indistinguishability, key resources for quantum communication, networks & computing. The technology addresses scalability challenges in wafer-scale arrays of deterministic emitters.
Scientists developed a scalable solution for robust optical frequency transfer in noisy field environments using digital phase recording and multifunctional relay stations. The system achieved stable operation and fractional frequency instability of 2.9 x 10^-21 at 1 Hz over 2067 km fiber network.
Researchers achieve robust single-mode lasing with a merging bound state in the continuum, reducing radiative loss and improving stability. The design enables ultra-compact devices with minimal device structure, promising high-performance on-chip lasers.
Researchers have developed a new approach to create large-scale uniform porous SiO2 monolayer coatings for high-reflection and anti-reflection optics. The coatings demonstrate excellent laser damage resistance, surpassing that of fused silica substrates.
A temporally plastic photonic processor enables real-time adaptation in environments with changing inputs. The device achieves high single-pass precision and shows improved accuracy in tasks like matrix inversion and sequential decision-making compared to traditional electronic processors.
The system addresses limitations of high numerical aperture objectives by combining a learned titanium dioxide meta-optic with a neural reconstruction network. This co-designed computational microscopy system improves imaging depth and resolves structures throughout thick biological specimens in a single shot.
A team of scientists has developed a method to control the motion of Leidenfrost droplets on a heated surface using femtosecond laser processing. The droplets exhibit a hybrid boiling state, combining the advantages of film and transition-boiling states, allowing for efficient heat transfer and directional propulsion.
A team of scientists developed a hybrid plasmonic modulator based on Si-ITO-SiO₂-Au, using a multimode silicon waveguide to create two spatially separated channels with precise phase shift. This device enables compact, high-speed optical links for data centers, telecommunications, and microwave photonics.
Hyperuniform disordered (HuD) photonic networks host an unexpected range of optical modes. The study reveals delocalized modes governed by level repulsion, a hallmark of interacting states. Localized modes exhibit Lifshitz-like behavior, with predictable spatial locations and hybridization into coupled modes.
A new bioinspired planar intelligent nanophotonic sensor has been developed for wide-angle accurate motion perception and prediction. The system uses a metalens array to achieve an ultra-wide viewing angle of 135° and enables the extraction of velocity and direction information of moving targets with high accuracy.
A new approach to tomographic volumetric additive manufacturing (TVAM) has been introduced, achieving 70 times more efficiency than previous techniques by encoding objects as holograms using phase modulation. This allows for bioprinting of structures at near-clinical scale with improved surface quality and self-healing beams.
Researchers introduced an opto-thermoviscous strategy to generate stable 3D helical thermoviscous flows, allowing robust out-of-plane rotation and manipulation of various micro-objects. This method enables multiview 3D microscopy by leveraging kinematic nature of thermoviscous manipulation.
Researchers successfully demonstrated the Talbot effect in diatom-inspired three-dimensional structures in the terahertz range. The fabricated structures replicate the native architecture of diatom frustules and reveal distinct optical roles for each layer.
The study introduces an integrated full-chip EUV curvilinear MO framework that merges deep-learning-enabled forward modeling and gradient-based inverse optimization. It reduces model complexity and memory usage through tunable U-Net surrogate models and slice-based approximated gradient calculation schemes.
Researchers developed a new class of optical storage technology that combines phase-change materials with responsive hydrogels for full-color image multiplexing. The device offers robust rewritability and can be controlled using environmental conditions, enabling user-friendly and secure data encryption.
Scientists developed a 2D thermo-optic modulation platform using QD film based micro-ring resonators, achieving a 19.77-fold increase in tuning sensitivity and a 50-fold improvement in modulation speed compared to conventional devices. The hybrid system enables real-time high-speed reconfiguration with enhanced performance and reduced ...
A new mixed-frequency heterodyne demodulation (MHD) architecture has been developed to address limitations of existing multi-gas LITES systems. The novel architecture enables simultaneous detection of two gas species, achieving low-crosstalk detection and excellent linearity.
Researchers developed a novel dual-frequency fiber-array photoacoustic computed tomography (PACT) technology, enabling high-resolution imaging of the entire brain and centimeters deep. This innovation overcomes the limitations of conventional PACT systems, allowing for precise functional imaging and metabolism assessment.
The L²-CPI system extends optical microscopy capabilities by capturing data 'on the fly' and retrieving phase information with high precision. This allows for non-destructive inspection of large-scale nanometrology samples, such as wafer defect arrays, with sub-wavelength defect detection.
A new off-axis bright- and dark-field OCT architecture enhances detection robustness by capturing complementary defect information. The system balances high axial resolution with deep penetration, allowing for precise defect localization and improved classification accuracy.
Researchers introduce bilayer and multilayer nonlocal flat optics, enabling control of optical modes through interlayer spacing, lateral displacement, and lattice mismatch. This emerging field provides routes to high-Q resonances, slow light, and enhanced nonlinear optical interactions.