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Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS


Omnidirectional color wavelength tuning of stretchable chiral liquid crystal elastomers

Scientists have developed a method for achieving omnidirectional wavelength control, enabling simultaneous and multidirectional structural color tuning with highly flexible wavelength control. This breakthrough innovation promises to revolutionize tunable photonic applications, including electronic skin and optical sensing.

High-efficiency crystalline white organic light-emitting diodes

A team of scientists has reported a novel structure for developing high-performance crystalline white OLEDs by employing thermally activated delayed fluorescence (TADF) material and orange phosphorescent dopants. This approach enables controlled luminescence behavior, efficient charge carrier transport channels, and reduced device cond...

Optical probing of ultrafast laser-induced solid-to-overdense-plasma transitions

Researchers create cutting-edge all-optical single-shot probing technique to capture target dynamics from cold solid to overdense plasma. The new method provides unprecedented insight into interplay of fundamental processes such as ionization dynamics and plasma hydrodynamic expansion.

Low-loss and polarization insensitive 32 x 4 optical switch for ROADM applications

A new paper demonstrates a low-loss and polarization-independent integrated optical colorless ROADM with a 32 x 4 optical switch. The device boasts below 2 dB fiber-to-fiber loss at 1550 nm, making it suitable for applications such as optical neural networks and integrated quantum photonics.

3D intravital high-resolution photoacoustic tracing of meningeal lymphatic vessels

Researchers developed a novel technique to visualize meningeal lymphatic vessels in vivo using photoacoustic microscopy. The study revealed that these vessels play a crucial role in regulating cerebrospinal fluid circulation and clearing metabolic waste from the brain, which is impaired in early stages of Alzheimer's disease.

Electro-optic tuning in composite silicon photonics based on ferroionic 2D materials

Researchers have demonstrated a novel approach to actively manipulate light using ferroionic 2D materials. These devices exhibit exceptional modulation efficiency and low optical losses, enabling applications in telecommunications, neuromorphic computing, and beyond.

Surface emitting semiconductor laser achieves efficiency breakthrough

Researchers have achieved a significant breakthrough in surface-emitting semiconductor laser efficiency using multi-junction cascaded active area technology. The new design strategy increases gain volume, enhancing differential quantum efficiency and maintaining lower threshold current.

Ultrafast laser state active controlling based on anisotropic quasi-1D material

Researchers achieve tunable ultrafast laser state active controlling by utilizing anisotropic quasi-1D material Ta2PdS6. The material enables the sustainment of two distinct laser states: conventional soliton (CS) and noise-like pulse (NLP). Numerical simulation reveals the mechanism behind the switchable laser state.

Electro-optic 3D snapshot of a laser wakefield accelerated kilo-ampere electron bunch

A team of scientists has achieved a breakthrough in measuring the 3D density profile of laser wakefield accelerated electron bunches, revealing a transverse size of less than 30 micrometers and a peak current exceeding 1 kiloampere. This detection opens new avenues for future applications in accelerator science and beyond.

Photonic neuromorphic architecture for tens-of-task lifelong learning

A novel photonic computing architecture has been developed for tens-of-task lifelong learning, surpassing existing electronic neural networks in capacity and energy efficiency. The L2 ONN demonstrates extraordinary learning capability on challenging tasks, such as vision classification and medical diagnosis.

High-performance terahertz modulators induced by substrate field in Te-based all-2D heterojunctions

Scientists developed Te-based THz modulators with improved modulation depth and speed, overcoming the tradeoff between the two. The stacking order of materials significantly impacts the modulation property, which can be regulated through substrate engineering.

Create cooperative exciton-polariton condensate

Researchers observe superfluorescence effect for the first time and control collective state of dipole ensemble using new regulatory dimension. They demonstrate cooperative exciton-polariton condensation with enhanced coupling strength, enabling potential applications for ultra-narrow tunable lasers and optoelectronic devices.

Breakthrough in light manipulation: Unveiling novel finite barrier bound states

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.

Tunable VO2 cavity enables multispectral manipulation from visible to microwave frequencies

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.

Chiral transmission by an open evolution trajectory in a non-Hermitian system

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.

New excitation method of stimulated Raman scattering achieves natural-linewidth-limit spectral lines

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.

Liquid lens based holographic camera for real 3D scene hologram acquisition using end-to-end physical model-driven network

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.

Unveiling the sun from behind the clouds: Reshaping the chemical image resolution

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.

Hyper spectral resolution stimulated raman spectroscopy with amplified fs pulse bursts

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.

Mass-produced, commercial promising multicolored photochromic fiber

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.

Perovskite single-pixel detector for efficient extraction of meta-images in complex environments

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.

Stable intense supercontinuum light generation from 1kHz femtosecond laser filamentation in air

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.

General deep learning framework for emissivity engineering

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.

Neural network assisted high-spatial-resolution polarimetry

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.

Versatile light control in WSe₂ achieved

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.

High fidelity spatial mode quantum gates enabled by diffractive neural networks

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.

Orbital angular momentum-mediated machine learning for high-accuracy mode-feature encoding

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.

Image denoising using a diffractive visual processor

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...

All in NaY(WO4)₂:Er³⁺/Yb³⁺: Quantum cutting, upconversion, and temperature sensing

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.

100-W Yb:YAG thin-disk vortex laser oscillator

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.

Geometric phase-encoded liquid crystal optical sensing

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.