Infrared Physics & Technology最新文献_第4页

Ultra-Low threshold switchable multi-wavelength fiber laser via a miniature whispering-gallery-mode comb filter 超低阈值可切换多波长光纤激光器通过一个微型低语走廊模式梳状滤波器

IF 3.4 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2026-01-01 DOI: 10.1016/j.infrared.2025.106336

Tianjiao Wu , Tianshu Wang , Gang Deng , Baoqun Li , Bowen Chen , Deqi Li , Silun Du , Sunde Wang , Hanyu He , Dongmei Liu , Yan Chen

In this paper, a feasible scheme for low-threshold, switchable multi-wavelength erbium-doped fiber laser is presented. This scheme combines a whispering gallery mode microsphere resonator with fiber taper acting as miniature comb filter within an erbium-doped all-fiber laser system. By exploiting the high Q and nonlinear comb filtering characteristic of the microsphere resonator with the system polarization regulation mechanism, it effectively suppresses the mode competition caused by uniform gain broadening, achieving stable output and flexible switching of low-threshold multi-wavelength lasers without other wavelength stabilization mechanism. According to the experimental results, single-, dual-, triple-, quad-, and quint-wavelength switchable lasers have been successfully achieved, with the lowest laser generation threshold of 3.156 mW. During a 50 min stability test, the maximum wavelength drift is less than 0.008 nm, and the power fluctuation is less than 2.98 dB. This scheme demonstrates significant advantages in terms of compact structure, low pump power requirements, and flexibility in wavelength switchable, providing a new practicable approach for the low-cost integration of multi-wavelength lasers with broad application potential.

本文提出了一种低阈值、可切换多波长掺铒光纤激光器的可行方案。该方案在掺铒全光纤激光系统中结合了窃窃廊微球谐振器和光纤锥度作为微型梳状滤波器。利用微球谐振腔的高Q和非线性梳状滤波特性，结合系统偏振调节机制，有效抑制均匀增益加宽带来的模式竞争，实现了低阈值多波长激光器在没有其他波长稳定机制的情况下的稳定输出和灵活切换。根据实验结果，成功地实现了单波长、双波长、三波长、四波长和五波长可切换激光器，最低激光产生阈值为3.156 mW。在50 min稳定性测试中，最大波长漂移小于0.008 nm，功率波动小于2.98 dB。该方案具有结构紧凑、泵浦功率要求低、波长切换灵活等优点，为低成本集成多波长激光器提供了一种新的可行方法，具有广阔的应用前景。

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引用次数: 0

Varieties identification of soybean seed using visible/near-infrared spectroscopy based on ensemble wavelength selection method 基于集合波长选择法的可见/近红外光谱大豆种子品种鉴定

IF 3.4 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2026-01-01 DOI: 10.1016/j.infrared.2025.106358

Biao Wu , Hongyi Bai , Laijun Sun , Yanru Fang , Zibo Han , Shihao Zhang

Accurate identification of soybean seed varieties is essential for optimized utilization, as different varieties vary in protein and fat content. This study proposes an ensemble wavelength selection method combined with visible/near-infrared spectroscopy (Vis/NIRS) to identify nine soybean seed varieties. The method works by integrating Partial Least Squares Discriminant Analysis (PLSDA), Random Forest (RF) and Least Absolute Shrinkage and Selection Operator (LASSO) feature importance ranking. Feature scores are normalized and summed to generate an integrated importance score, and a threshold-based strategy is applied to select the most informative wavelengths. This approach takes advantage of different methods and enhances the overall effectiveness of feature selection. These selected wavelengths are then used as inputs to a 1D convolutional neural network (1D-CNN) for variety classification. The proposed method reduced the spectral dimensionality from 1794 to 188 and achieved a classification accuracy of 0.985 on the test set. This study indicates that the combination of visible/near-infrared spectroscopy data and ensemble wavelength selection method provides a new approach for identification of soybean seed varieties.

大豆种子品种的准确鉴定对优化利用至关重要，因为不同品种的蛋白质和脂肪含量不同。本研究提出了一种结合可见光/近红外光谱（Vis/NIRS）的集合波长选择方法，对9个大豆种子品种进行鉴定。该方法将偏最小二乘判别分析（PLSDA）、随机森林（RF）和最小绝对收缩和选择算子（LASSO）特征重要性排序相结合。将特征分数归一化并求和以生成综合重要性分数，并采用基于阈值的策略来选择信息量最大的波长。该方法利用了多种方法的优势，提高了特征选择的整体有效性。然后，这些选定的波长被用作一维卷积神经网络（1D- cnn）的输入，用于品种分类。该方法将光谱维数从1794降至188，在测试集上实现了0.985的分类精度。本研究表明，将可见光/近红外光谱数据与集合波长选择方法相结合，为大豆种子品种鉴定提供了一条新的途径。

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引用次数: 0

Self-Q-switching laser performance of Nd:ASL crystals at 1.3 μm 1.3 μm Nd:ASL晶体的自调q激光性能

IF 3.4 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2025-12-29 DOI: 10.1016/j.infrared.2025.106360

Wenfang Lin , Conghui Huang , Shulong Zhang , Min Xu , Siliang Tao , Shanming Li , Chengchun Zhao , Qiannan Fang , Xisheng Ye , Yin Hang

The self-Q-switching (SQS) laser performance on Nd-doped crystal at 1.3 μm has been reported for the first time, as far as is known. On Sr_0.7Nd_0.05La_0.25Mg_0.3Al_11.7O₁₉ (Nd:ASL) disorder crystal, a SQS dual-wavelength laser at 1339.9 and 1370.3 nm with output power up to 1.65 W was obtained under an absorbed pump power of 10.13 W with slope and optical-to-optical efficiencies of 22.3 % and 16.3 %, respectively. Furthermore, an on-surface optical axis quartz birefringent filter (BRF) was inserted in the V-folded cavity to tune the laser wavelength. Lasers at 1306.4, and approximately 1340, 1370, or 1391 nm were obtained. The experimental results indicated that σ polarization direction Nd:ASL is capable of producing dual-wavelength lasers at 1339.9 and 1370.3 nm, which was potential to be employed as the source of THz radiation. Besides, Nd:ASL crystals are enable to generate tunable lasers near 1370 and 1391 nm.

1.3 μm掺杂nd晶体上的自调q （SQS）激光性能是目前所知的首次报道。在sr0.7 nd0.05 la0.25 mg0.3 al11.70 o19 （Nd:ASL）无序晶体上，在吸收泵浦功率为10.13 W的条件下，获得了波长为1339.9和1370.3 nm、输出功率为1.65 W的SQS双波长激光器，其斜率和光效率分别为22.3%和16.3%。此外，在v型折叠腔中插入表面光轴石英双折射滤光片（BRF）来调节激光波长。获得了波长为1306.4 nm、1340 nm、1370 nm或1391 nm的激光。实验结果表明，σ偏振方向Nd:ASL能够产生1339.9和1370.3 nm的双波长激光器，具有作为太赫兹辐射源的潜力。此外，Nd:ASL晶体能够产生1370和1391 nm附近的可调谐激光。

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引用次数: 0

Infrared Small Target Detection Fusion Network based on singular value decomposition and Rayleigh feature amplifier 基于奇异值分解和瑞利特征放大器的红外小目标检测融合网络

IF 3.4 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2025-12-26 DOI: 10.1016/j.infrared.2025.106353

Tianlei Ma , Liang Fu , Jinzhu Peng , Fang-Lue Zhang , Heng Zhang , Xiangbo Feng , Teng Wang , Lu Xin

Recent advancements in deep learning-based detection methods have led to substantial improvements in the performance of infrared small target detection (IRSTD). However, most methods rely solely on the original image and overlook the valuable prior knowledge it contains. As a result, these methods exhibit limited capability in extracting and enhancing target features. To tackle this problem, a fusion framework named the Infrared Small Target Detection Fusion Network (ISTDFN) has been developed, consisting mainly of a decomposition network and a detection network. Initially, to guide the network’s focus toward target features, we use the decomposition network to factorize images into sparse and low-rank components. The target information will primarily be contained in the sparse components. Furthermore, to improve the efficiency of feature extraction, the detection network incorporates a feature amplifier based on the Rayleigh distribution, which is inspired by the thermal diffusion model of small targets in physics, enabling dynamic enhancement of target features. Finally, after extracting and enhancing features from the two decomposed components, a singular value feature fusion (SVFF) module is applied in the detection network to facilitate effective information interaction and fusion. Comprehensive experiments demonstrate that the proposed approach can accurately and efficiently detect targets, even under challenging background conditions.

基于深度学习的检测方法的最新进展使得红外小目标检测（IRSTD）的性能有了实质性的提高。然而，大多数方法仅仅依赖于原始图像，而忽略了它所包含的有价值的先验知识。因此，这些方法在提取和增强目标特征方面的能力有限。为了解决这一问题，提出了一种红外小目标检测融合网络（ISTDFN）融合框架，主要由分解网络和检测网络组成。首先，为了将网络的焦点引导到目标特征上，我们使用分解网络将图像分解为稀疏和低秩的组件。目标信息主要包含在稀疏分量中。此外，为了提高特征提取的效率，检测网络引入了基于瑞利分布的特征放大器，该放大器的灵感来自于物理学中小目标的热扩散模型，实现了目标特征的动态增强。最后，对两个分解分量进行特征提取和增强后，在检测网络中应用奇异值特征融合（SVFF）模块，实现有效的信息交互和融合。综合实验表明，该方法可以在复杂的背景条件下准确有效地检测目标。

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引用次数: 0

Four orders spectral compression of Brillouin fiber laser for broadband microwave frequency measurement 宽带微波频率测量用布里渊光纤激光器的四阶频谱压缩

IF 3.4 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2025-12-26 DOI: 10.1016/j.infrared.2025.106332

Lei Yu , Qing Yan , Yafei Hou , Huijie Wang , Xulei Yang , Wenjun He , Yajun You , Yi Liu , Xiujian Chou

A novel technique for microwave frequency measurement (MFM) based on Brillouin fiber laser with a compression ratio exceeding four orders of magnitude is proposed. This method exploits the difference in the propagation velocities of light and sound within a Brillouin resonator, resulting in a spectral compression ratio of 1.82 × 10⁴ between the Brillouin frequency shift and the input optical wavelength. In contrast to existing MFM, this design not only exhibits a wide measurement range but also offers high frequency resolution. In the experiment, the unknown microwave signal in the pump path is first modulated into a single-sideband format using an optical filter and an intensity modulator. The modulated signal acts as the pump to stimulate Brillouin scattering, and the linewidth of the generated Brillouin laser is significantly narrowed through a cascaded resonant cavity comprising two single-mode fiber segments of 500 m and 50 m, respectively. By detecting the beat frequency of the Brillouin lasers in the probe path, wideband MFM is achieved. A 45 GHz broadband microwave spectrum is successfully compressed into a 2.5 MHz frequency domain window at low frequency, achieved by applying a fixed microwave frequency offset based on spectral compression. The frequency resolution was improved to 8.8 MHz using Brillouin laser. Repeated measurements confirmed that the maximum measurement error of the system is 5 MHz. This design provides a feasible solution for a low-cost MFM with optimal performance.

提出了一种基于压缩比超过4个数量级的布里渊光纤激光器的微波频率测量新技术。该方法利用光和声在布里渊谐振腔内传播速度的差异，使得布里渊频移和输入光波长之间的频谱压缩比为1.82 × 104。与现有的MFM相比，该设计不仅具有宽的测量范围，而且具有高的频率分辨率。在实验中，首先使用光滤波器和强度调制器将泵浦光路中的未知微波信号调制成单边带格式。调制后的信号作为泵浦刺激布里渊散射，产生的布里渊激光的线宽通过由两个分别为500 m和50 m的单模光纤段组成的级联谐振腔明显变窄。通过探测探测路径中布里渊激光器的拍频，实现了宽带MFM。采用基于频谱压缩的固定微波频偏，成功地将45 GHz宽带微波频谱压缩到低频2.5 MHz频域窗口。采用布里渊激光将频率分辨率提高到8.8 MHz。经反复测量，系统的最大测量误差为5mhz。该设计为低成本、性能最佳的MFM提供了可行的解决方案。

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引用次数: 0

Diode-pumped self-mode-locked Tm,Ho:YLF laser with 5.2 GHz fundamental pulse repetition frequency 5.2 GHz基脉冲重复频率的二极管泵浦自锁模Tm，Ho:YLF激光器

IF 3.4 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2025-12-26 DOI: 10.1016/j.infrared.2025.106339

Xinlu Zhang , Feiguo Shi , Panqiang Kang , Zhijun Liu , Longwu Huang , Jianshuo Chen , Lianhuan Chi , Cuncan Zhang , Jinjer Huang

The self-mode-locked Tm,Ho:YLF laser operating at 2065 nm with the low pump threshold and GHz high pulse repetition frequency is reported. Increasing the absorbed pump power only to approximately 0.25 W, the laser began oscillating and stable self-mode-locking operation with the fundamental pulse repetition frequency of 5.2 GHz was achieved. At the absorbed pump power of 2.23 W, the maximum average output power of 959 mW was obtained, with the slope efficiency and optical-to-optical efficiency of 48.6 % and 42.8 %, respectively. To the best of our knowledge, this is the first self-mode-locked Tm-Ho co-doped solid-state laser with a GHz pulse repetition frequency, moreover, 5.2 GHz is the highest fundamental pulse repetition frequency in 2 µm waveband mode-locked solid-state lasers.

报道了工作在2065 nm、低泵浦阈值、GHz高脉冲重复频率的自锁模Tm，Ho:YLF激光器。将吸收泵浦功率提高到0.25 W左右，激光器开始振荡，实现了稳定的自锁模工作，基脉冲重复频率为5.2 GHz。在吸收泵浦功率为2.23 W时，最大平均输出功率为959 mW，斜率效率和光对光效率分别为48.6%和42.8%。据我们所知，这是第一个具有GHz脉冲重复频率的自锁模Tm-Ho共掺固体激光器，并且5.2 GHz是2µm波段锁模固体激光器中基波重复频率的最高频率。

引用次数: 0

EMFusionNet: Attention-guided wavelet Mamba for cross-modal fusion in nighttime infrared–visible images EMFusionNet：夜间红外可见图像跨模态融合的注意引导小波曼巴

IF 3.4 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2025-12-23 DOI: 10.1016/j.infrared.2025.106323

Siyuan Zhao, Cong Zhang, Haiming Li, Mingkai Yue, Rui Shi

In this paper, we propose a novel low-light infrared–visible image fusion framework based on wavelet transform and Mamba networks to address the challenges of nighttime image enhancement. In this application scenario, prevailing fusion and enhancement approaches tend to introduce noise and artifacts while failing to simultaneously preserve thermal signatures from infrared images and textural details from visible images. Unlike conventional approaches, our approach integrates CBAM-enhanced retinex decomposition to adaptively extract illumination-invariant reflectance components, alongside cross-modal wavelet fusion to capture complementary multi-spectral features. Furthermore, we introduce a dual-stream Mamba network with a target-aware enhancement mechanism to optimize fusion quality in an end-to-end manner. Specifically, we first analyze the degradation characteristics of low-light images and derive an adaptive fusion strategy that balances thermal prominence and visible texture preservation. Additionally, we develop a wavelet-guided feature recombination module to suppress noise amplification while enhancing salient structures. Extensive experiments demonstrate that the proposed framework outperforms state-of-the-art approaches in both visual quality and quantitative metrics, achieving superior performance in nighttime environments.

本文提出了一种基于小波变换和曼巴网络的低光红外-可见光图像融合框架，以解决夜间图像增强的挑战。在这种应用场景中，主流的融合和增强方法往往会引入噪声和伪影，而无法同时保留红外图像的热特征和可见光图像的纹理细节。与传统方法不同，我们的方法集成了cbam增强的视网膜分解来自适应地提取光照不变的反射率成分，以及跨模态小波融合来捕获互补的多光谱特征。此外，我们还引入了一个具有目标感知增强机制的双流Mamba网络，以端到端方式优化融合质量。具体而言，我们首先分析了弱光图像的退化特征，并推导了一种平衡热突出和可见纹理保留的自适应融合策略。此外，我们开发了一个小波引导的特征重组模块，以抑制噪声放大，同时增强显著结构。大量的实验表明，所提出的框架在视觉质量和定量指标方面都优于最先进的方法，在夜间环境中实现了卓越的性能。

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引用次数: 0

City-4Band: A four-band urban street scene dataset for semantic segmentation City-4Band：用于语义分割的四波段城市街景数据集

IF 3.4 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2025-12-23 DOI: 10.1016/j.infrared.2025.106352

Jie Liu , Linhan Li , Yuhan Li , Qingwu Duan , Juan Yue , Shijing Hao , Sili Gao

Semantic segmentation is vital for applications like autonomous driving and smart cities. Infrared imaging provides complementary information in complex environments, improving scene understanding. However, existing datasets rarely include multiple spectral bands simultaneously. This paper introduces a novel street-scene semantic segmentation dataset containing four spectral bands: visible, short-wave infrared, mid-wave infrared, and long-wave infrared. The data were collected using a custom multi-band camera equipped with high-resolution sensors. Mid-wave and long-wave images were captured using cooled infrared detectors, allowing high dynamic range imaging and enhanced sensitivity to fine details. Semantic annotations were created through lightweight preprocessing and manual labeling, covering three common object classes in street scenes. We evaluate multiple mainstream segmentation models using different band combinations. Results show that fusing all four bands significantly improves segmentation accuracy. This dataset provides a valuable resource for advancing multi-band image segmentation in challenging real-world scenarios.

语义分割对于自动驾驶和智能城市等应用至关重要。红外成像在复杂环境中提供了补充信息，提高了对场景的理解。然而，现有的数据集很少同时包含多个光谱波段。本文介绍了一种新的街景语义分割数据集，该数据集包含四个光谱波段：可见光、短波红外、中波红外和长波红外。数据是通过配备高分辨率传感器的定制多波段相机收集的。使用冷却红外探测器捕获中波和长波图像，允许高动态范围成像和增强对精细细节的灵敏度。语义注释是通过轻量级预处理和手动标记创建的，涵盖了街景中的三种常见对象类。我们评估了使用不同波段组合的多个主流分割模型。结果表明，融合四种波段可显著提高分割精度。该数据集为在具有挑战性的现实场景中推进多波段图像分割提供了宝贵的资源。

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引用次数: 0

DICMG-Net: Detailed information compensation and mask guided network for infrared small target detection 用于红外小目标探测的详细信息补偿和掩模制导网络

IF 3.4 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2025-12-22 DOI: 10.1016/j.infrared.2025.106330

Tingting Yao, Meiwen Zhu, Xinyu Gu, Wanting Luo, Qing Hu

Infrared small target detection technology has been widely used in both military and civil fields. Although numerous approaches have been proposed, the target detection accuracy is still affected by the poor resolution and insufficient detailed information of infrared images. Therefore, existing approaches often face the problems of false and missed detections. In this paper, a detailed information compensation and mask guided network has been proposed to solve the above problem. First, to compensate for more information of targets across different scales, a target detailed information compensation module is designed. Both local and non-local information of the target have been captured, hence the information loss caused by the upsampling operation during the multi-scale feature fusion stage could be restored. Furthermore, a dynamic boundary information extraction module is designed. More high-frequency texture information of the target is extracted in the shallow layer and incorporated in the deeper layer, thus the information loss caused by the continuous pooling operations could be compensated. Finally, to further improve the detection accuracy of the proposed network, the target masks are generated based on the ground truth, and a mask based loss constraint has been devised during the network parameter training process. Qualitative and quantitative comparison experiments conducted on SIRST and ISATD datasets demonstrate that the proposed network could achieve superior detection accuracy compared to state-of-the-art ones.

红外小目标探测技术在军事和民用领域都有广泛的应用。尽管已经提出了许多方法，但红外图像的分辨率不高和细节信息不足仍然影响了目标检测的精度。因此，现有的方法经常面临错误和漏检的问题。本文提出了一种详细的信息补偿和掩码引导网络来解决上述问题。首先，为了补偿不同尺度目标的更多信息，设计了目标详细信息补偿模块。同时捕获了目标的局部和非局部信息，从而恢复了多尺度特征融合过程中上采样操作造成的信息丢失。此外，还设计了动态边界信息提取模块。在浅层提取目标的更多高频纹理信息，并将其纳入深层，从而补偿连续池化操作造成的信息损失。最后，为了进一步提高所提网络的检测精度，基于地真值生成目标掩码，并在网络参数训练过程中设计了基于掩码的损失约束。在SIRST和ISATD数据集上进行的定性和定量对比实验表明，与最先进的网络相比，所提出的网络可以实现更高的检测精度。

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引用次数: 0

Multifunctional additive collaborative strategy for efficient near-infrared tin-based perovskite light-emitting diodes 高效近红外锡基钙钛矿发光二极管的多功能添加剂协同策略

IF 3.4 3区物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION

Infrared Physics & Technology

Pub Date : 2025-12-22 DOI: 10.1016/j.infrared.2025.106338

Shuai Qiu, Shenao Qin, Ying Cao, Shulin Han, Qikai Wang, Yuzhi Song, Chuan-Kui Wang, Lei Cai

Smaller ionization energy and electronegativity enable the emission range of Eco-friendliness Sn-based perovskite light-emitting diodes (PeLEDs) researched to near-infrared range, which exhibits a wide range of applications in night vision, biomedicine, and communications. Nevertheless, the oxidizability of Sn²⁺ and the rapid crystallization rate of Sn-based perovskites lead to poor film quality, thus leading to diminished efficiency in tin-based PeLEDs. We developed effective Near-infrared (NIR) PeLEDs based on FA_0.875Cs_0.125SnI₃ by using D-serine benzyl ester hydrochloride (D-SBEHC) as an additive, which has significant steric hindrance and multifunctional groups. The hydrogen bonding and coordination between D-SBEHC and FA_0.875Cs_0.125SnI₃ effectively diminish the crystallization rate of the perovskite, inhibit the oxidation of Sn²⁺, and prevent the production of defects. The perovskite films modified by D-SBEHC exhibit nearly threefold increase inphotoluminescence quantum yield. Finally, we fabricated an efficient and stable PeLED with a peak at 903 nm, showing an external quantum efficiency (EQE) of 3.99% (eight times that of the control device) and a maximum radiance of 31 W/sr/m².

更小的电离能和电负性使得生态友好型锡基钙钛矿发光二极管（PeLEDs）的发射范围达到近红外范围，在夜视、生物医学、通信等领域具有广泛的应用前景。然而，Sn2+的氧化性和sn基钙钛矿的快速结晶速率导致薄膜质量差，从而导致锡基peled的效率降低。以具有明显位阻和多官能团的d -丝氨酸苄酯盐酸盐（D-SBEHC）为添加剂，以FA0.875Cs0.125SnI3为基体，制备了有效的近红外发光二极管（NIR）。D-SBEHC与FA0.875Cs0.125SnI3之间的氢键和配位有效地降低了钙钛矿的结晶速率，抑制了Sn2+的氧化，防止了缺陷的产生。经D-SBEHC修饰的钙钛矿薄膜的光致发光量子产率提高了近3倍。最后，我们制作了一个高效稳定的PeLED，其峰值在903 nm处，显示出3.99%的外量子效率（EQE）（是控制装置的8倍），最大辐照度为31 W/sr/m2。

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引用次数: 0