Optics and Laser Technology最新文献_第2页

A review of the application of machine learning in short-pulse and ultrashort-pulse laser etching 机器学习在短脉冲和超短脉冲激光刻蚀中的应用综述

IF 5 2区物理与天体物理 Q1 OPTICS

Optics and Laser Technology

Pub Date : 2026-02-13 DOI: 10.1016/j.optlastec.2026.114871

Zhensheng Sun , Peilei Zhang , Shijie Song , Kefan Chen , Keran Jiang , Guanglong Chen , Qinghua Lu , Chao Fang

Short Pulse Laser (SPL) and Ultrashort Pulse Laser (USPL) etching are pivotal for fabricating high-precision components in extreme manufacturing. However, their industrial deployment faces significant challenges. The highly non-linear nature of laser-material interactions necessitates expensive trial-and-error, while pure data-driven models suffer from “black-box” interpretability issues and data scarcity, and traditional static optimization fails to adapt to dynamic disturbances during real-time processing. To address these issues, machine learning (ML) and metaheuristic algorithms (MA) have been widely used in SPL and USPL processing. The primary objective of this review is to systematically synthesize and critically evaluate the applications of Machine Learning (ML) and MA in SPL/USPL etching, specifically focusing on drilling, microchannel fabrication, and Laser-Induced Periodic Surface Structures (LIPSS) . We categorize core strategies into “Forward Modeling” (quality prediction) and “Reverse Design” (parameter optimization) to elucidate how these algorithms mitigate the aforementioned challenges, and providing a forward-looking perspective, highlighting Physics-Informed Machine Learning (PINNs) for enhancing interpretability with sparse data. This review expands on the little-covered part of the existing review literature on the application of ML and MA in the field of laser processing and summarises the effectiveness of different ML models and MA for SPL and USPL in terms of etching. It further explores the potential of emerging, multiple ML converged processing and provides an outlook on novel trends and challenges at the intersection of laser etching and ML.

短脉冲激光（SPL）和超短脉冲激光（USPL）刻蚀是制造高精度零件的关键技术。然而，它们的工业部署面临着重大挑战。激光与材料相互作用的高度非线性特性需要昂贵的试错，而纯粹的数据驱动模型则存在“黑盒”可解释性问题和数据稀缺问题，传统的静态优化无法适应实时处理过程中的动态干扰。为了解决这些问题，机器学习（ML）和元启发式算法（MA）被广泛应用于SPL和USPL处理中。本综述的主要目的是系统地综合和批判性地评估机器学习（ML）和MA在SPL/USPL蚀刻中的应用，特别是专注于钻孔，微通道制造和激光诱导周期性表面结构（LIPSS）。我们将核心策略分为“正向建模”（质量预测）和“逆向设计”（参数优化），以阐明这些算法如何缓解上述挑战，并提供前瞻性的视角，强调物理信息机器学习（pinn）用于增强稀疏数据的可解释性。本文对ML和MA在激光加工领域中应用的现有综述文献中很少涉及的部分进行了扩展，并总结了不同ML模型和MA在刻蚀方面对SPL和USPL的有效性。它进一步探讨了新兴的、多机器学习融合处理的潜力，并展望了激光蚀刻和机器学习交叉领域的新趋势和挑战。

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引用次数: 0

A Non-Contact method for plasma state perception in laser shock peening using Acoustic-Visual signal fusion 一种基于声视信号融合的非接触激光冲击强化等离子体状态感知方法

IF 5 2区物理与天体物理 Q1 OPTICS

Optics and Laser Technology

Pub Date : 2026-02-12 DOI: 10.1016/j.optlastec.2026.114899

Guangyuan Shi , Junlin Chen , Qi Qi , Shilei Xiong , Yuanbin Wang , Minchao Cui , Ming Luo

Laser shock peening (LSP) is a typical multi-physics coupling manufacturing process. The use of multimodal information allows for a more comprehensive understanding of plasma state evolution. The spatiotemporal characteristics of the plasma during LSP of γ-TiAl alloy were investigated by simultaneously collecting acoustic signals and high-speed image data. The effects of different laser energies, probe angles, and distances on the acoustic signal were analyzed. The results show that the acoustic signal exhibits a typical ‘N-shaped wave’ characteristic and demonstrates spherical wave propagation. Additionally, the flight time decreases as the laser energy increases. After absorbing the laser energy, the plasma expands rapidly and then decays quickly. The decay rate near the water surface is faster, and the overall plasma lifetime is approximately 80 microseconds. Based on these data, a 2D-3D CNN deep learning model, integrating both acoustic and visual signals, was developed for plasma state perception. The decision-level fusion model achieved an accuracy of 94.6%, while the feature-level fusion model reached 91.9%, significantly outperforming the single-modal models (visual: 89.7%; acoustic: 85.0%). These results demonstrate that the fusion of acoustic and visual signals is highly effective for plasma state perception, offering a new approach for intelligent monitoring and quality control in LSP.

激光冲击强化是一种典型的多物理场耦合制造工艺。使用多模态信息可以更全面地了解等离子体状态的演变。通过同时采集声学信号和高速图像数据，研究了γ-TiAl合金LSP过程中等离子体的时空特征。分析了不同激光能量、探头角度和距离对声信号的影响。结果表明，声信号表现出典型的“n形波”特征，并呈现球形传播。此外，飞行时间随着激光能量的增加而减少。在吸收激光能量后，等离子体迅速膨胀，然后迅速衰减。水面附近的衰减速度更快，整个等离子体寿命约为80微秒。基于这些数据，我们开发了一个集成了声学和视觉信号的2D-3D CNN深度学习模型，用于等离子体状态感知。决策级融合模型的准确率为94.6%，特征级融合模型的准确率为91.9%，明显优于单模态模型（视觉：89.7%；声学：85.0%）。实验结果表明，声视信号融合对等离子体状态感知是非常有效的，为LSP的智能监测和质量控制提供了一种新的途径。

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引用次数: 0

Synergistic mechanism of thermal accumulation and shielding effects in burst-mode femtosecond laser ablation of SiC 突发模式飞秒激光烧蚀SiC中热积累与屏蔽效应的协同机制

IF 5 2区物理与天体物理 Q1 OPTICS

Optics and Laser Technology

Pub Date : 2026-02-12 DOI: 10.1016/j.optlastec.2026.114917

Guangxian Li , Qijian Zhu , Ruiguang Fan , Luyang Ding , Yu Long , Lili Yuan , Wei Wei

Femtosecond laser ablation (FLA) offers distinct advantages for high-performance machining, such as controllable energy input and extremely high peak power. To further enhance its capabilities for processing ultra-hard materials, burst-mode FLA has emerged as a prominent research focus, which improves machining efficiency and limits thermal defects. This paper comprehensively investigates the machining of SiC via ultraviolet FLA in MHz burst mode. Temperature fields based on the two-temperature model were simulated, which investigated the electron-lattice thermal coupling disparities under varying sub-pulse numbers. The mechanism of how thermal accumulation synergy mechanism in burst-mode enhances was revealed. It was found that low-energy and multi-sub-pulse output strategy of burst-mode FLA induces sustained residual thermal accumulation in lattice, thereby enhancing energy utilization efficiency. Material removal mechanisms exhibit diverse pathways with dynamic sub-pulse energies. Furthermore, this study establishes the correlation between the decline in MRR under high laser repetition rates and the shielding effect through discrete wavelet transform time–frequency analysis of acoustic emission signals. These results demonstrate that precise energy modulation of sub-pulses in burst-mode FLA is critical for the improvement of surface finish and machining efficiency, providing significant guidance for future applications achieving high-quality and high-efficiency micromachining of SiC.

飞秒激光烧蚀（FLA）在高性能加工中具有能量输入可控和峰值功率极高等明显优势。为了进一步提高其加工超硬材料的能力，爆发模式FLA已成为一个突出的研究热点，以提高加工效率和限制热缺陷。本文全面研究了在MHz突发模式下用紫外FLA加工SiC的方法。基于双温度模型对温度场进行了模拟，研究了不同子脉冲数下的电子-晶格热耦合差异。揭示了爆发模式下热积累协同机制增强的机理。研究发现，低能量、多次脉冲的爆发模式FLA输出策略可诱导晶格内持续的残余热积累，从而提高能量利用效率。在动态亚脉冲能量下，材料的去除机制表现出多种途径。此外，本文通过对声发射信号进行离散小波变换时频分析，建立了高激光重复率下MRR下降与屏蔽效应的相关性。这些结果表明，在突发模式FLA中精确调制子脉冲的能量对于提高表面光洁度和加工效率至关重要，为实现高质量和高效率的碳化硅微加工提供了重要的指导。

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引用次数: 0

Controllable direct generation of structured light in a Nd:YVO4 self-Raman laser via off-axis needle pumping 在Nd:YVO4自拉曼激光器中通过离轴针泵浦直接产生可控结构光

IF 5 2区物理与天体物理 Q1 OPTICS

Optics and Laser Technology

Pub Date : 2026-02-12 DOI: 10.1016/j.optlastec.2026.114930

Yandong Feng , Jianan Lu , Chong Zhou , Jinyan Liu , Qinyu Qian , Youyou Hu , Li Fan

High-power, spatially structured laser beams hold great promise for advanced applications in areas such as imaging and manipulation. This work demonstrates the direct generation of diverse structured beams — including Hermite-Gaussian (HG), Laguerre-Gaussian (LG), Hermite-Laguerre-Gaussian (HLG), Ince-Gaussian (IG), and optical vortex lattices (OVL) — from a compact, diode-pumped Nd:YVO₄ self-Raman laser at 1176 nm. A novel off-axis needle-pumping geometry enables on-demand mode selection merely by adjusting the input mirror’s position and tilt. At an absorbed pump power of 13.08 W, the system delivers a maximum Raman output of 1.008 W (with 7.7% optical conversion efficiency) for the LG_0,1 mode, while other high-order modes achieve power levels ranging from 0.26 W to 0.9 W. To our knowledge, this represents the first demonstration of a compact continuous-wave Raman laser capable of directly generating such a wide spectrum of structured light, including IG and OVL modes, at this wavelength, thereby providing a versatile new source for optical trapping and biomedical technologies.

高功率、空间结构的激光束在成像和操作等领域的先进应用前景广阔。这项工作证明了从1176 nm的紧凑二极管泵浦Nd:YVO4自拉曼激光器直接产生多种结构光束-包括Hermite-Gaussian (HG), Laguerre-Gaussian (LG), Hermite-Laguerre-Gaussian (HLG), inces - gaussian （IG）和光学涡旋晶格（OVL）。一种新颖的离轴针泵几何结构，只需调整输入反射镜的位置和倾斜，即可按需选择模式。在吸收泵浦功率为13.08 W时，系统在LG0,1模式下的最大拉曼输出为1.008 W（光转换效率为7.7%），而其他高阶模式的功率水平为0.26 W至0.9 W。据我们所知，这是紧凑型连续波拉曼激光器的首次演示，该激光器能够在该波长直接产生如此宽光谱的结构光，包括IG和OVL模式，从而为光学捕获和生物医学技术提供了一种多功能的新光源。

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引用次数: 0

Measurement and modeling of BRDF for stray light suppression in gravitational wave telescope baffle surfaces 引力波望远镜挡板表面杂散光抑制BRDF的测量与建模

IF 5 2区物理与天体物理 Q1 OPTICS

Optics and Laser Technology

Pub Date : 2026-02-12 DOI: 10.1016/j.optlastec.2026.114912

Bolun Ma , Qinfang Chen , Hu Wang , Yaoke Xue , Zhanpeng Ma , Jiawen Liu

Space gravitational wave detection requires highly sensitive capture of extremely weak gravitational wave signals, posing unprecedented challenges to the stability and noise suppression capabilities of telescope optical systems. As a critical component at the optical input of gravitational wave telescope, the surface properties of the baffle directly affect the distribution of stray light and the system’s sensitivity to weak signals. Based on a self-developed Bidirectional Reflectance Distribution Function (BRDF) measurement system, this paper systematically measured the surface scattering characteristics of three typical baffle materials in the visible and near-infrared bands, and deeply analyzed the influence of surface morphology, incident angle and wavelength on BRDF characteristics. In addition, based on the measured data, a BRDF mathematical model accurately characterizing the scattering behavior of materials was established, and its parameters were optimized using the simulated annealing algorithm. The research results not only provide essential data support for stray light ray-tracing calculations in baffle design but also offer important theoretical guidance for optimizing the optical systems and stray light suppression strategies of gravitational wave telescope.

空间引力波探测需要对极弱的引力波信号进行高灵敏度捕获，这对望远镜光学系统的稳定性和噪声抑制能力提出了前所未有的挑战。作为引力波望远镜光输入端的关键部件，折流板的表面特性直接影响杂散光的分布和系统对微弱信号的灵敏度。基于自主研发的双向反射分布函数（Bidirectional Reflectance Distribution Function， BRDF）测量系统，系统测量了三种典型挡流材料在可见光和近红外波段的表面散射特性，深入分析了表面形貌、入射角和波长对BRDF特性的影响。此外，基于实测数据，建立了准确表征材料散射行为的BRDF数学模型，并利用模拟退火算法对模型参数进行了优化。研究结果不仅为折流板设计中的杂散光追踪计算提供了必要的数据支持，而且为优化引力波望远镜光学系统和杂散光抑制策略提供了重要的理论指导。

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引用次数: 0

Tunable structural colors enabled by phase-change films 由相变薄膜实现的可调结构颜色

IF 5 2区物理与天体物理 Q1 OPTICS

Optics and Laser Technology

Pub Date : 2026-02-12 DOI: 10.1016/j.optlastec.2026.114943

He Li , Longjie Li , Xiao Shang , Yuan Wang , Yu Liu , Kaiping Zhang , Cheng Lu , Zhihong Yao , Shengchao Duan , Bin Li , Lina Shi

Dynamically tunable structural colorations are essential for modern application such as real-time dynamic display and large-scale optical imaging. Phase-change materials Ge₂Sb₂Te₅ (GST) offer a compelling platform for dynamic tunable structural colors, owing to their thermally switchable multilevel state, ultrafast optical response, and compatibility with CMOS process. However, it remained a challenging task to create dynamic tunable color pixels with large color gamut, angular insensitive, and suitable for large area preparation. Here, we present a simple strategy to realize dynamic tunable structural colors by controlling the state of GST and the ITO spacer. The proposed structure is realized by stacking ITO (indium-tin oxide) / GST /ITO on the top of the platinum (Pt) reflector in sequence, which possess simple fabrication process and suitable for large process scales. The continuous tunable structural color can be achieved and the angular independence of incident angle up to 53.1°. Further, we demonstrate electrically driven phase-change devices through the incorporation of a Pt microheater. The real-time and continuously tunable structural color by changing the applied voltage was experimentally demonstrated. This work represents a critical advance towards the development of fully integrable dynamic displays, future optical and optoelectronic devices.

动态可调结构着色对于实时动态显示和大规模光学成像等现代应用是必不可少的。相变材料Ge2Sb2Te5 （GST）由于其可热切换的多能级状态、超快的光学响应以及与CMOS工艺的兼容性，为动态可调结构颜色提供了一个引人注目的平台。然而，如何创建具有大色域、角不敏感、适合大面积制备的动态可调颜色像素仍然是一项具有挑战性的任务。在这里，我们提出了一种简单的策略，通过控制GST和ITO间隔的状态来实现动态可调的结构颜色。该结构通过在铂（Pt）反射器顶部依次叠加ITO（氧化铟锡）/ GST /ITO实现，制作工艺简单，适用于大工艺规模。可实现结构颜色的连续可调，入射角角无关性可达53.1°。此外，我们展示了电驱动的相变装置，通过结合一个铂微加热器。实验证明了通过改变外加电压实现结构颜色的实时连续可调。这项工作代表了完全可集成动态显示器、未来光学和光电子器件发展的关键进展。

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引用次数: 0

Pt Nanoparticle–Decorated β-Ga2O3/n-GaN Solar–Blind UV photodetectors with enhanced photoresponse for reconfigurable optoelectronic logic gates 用于可重构光电逻辑门的具有增强光响应的铂纳米粒子修饰β-Ga2O3/n-GaN太阳盲紫外光电探测器

IF 5 2区物理与天体物理 Q1 OPTICS

Optics and Laser Technology

Pub Date : 2026-02-12 DOI: 10.1016/j.optlastec.2026.114937

Peize Xuan , Dan Zhang , Chuxuan Zhang , Jiarong Liang , Haowen Yang , Xingui Tang , Wei Zheng

In this work, β-Ga₂O₃/n-GaN heterojunctions modified with Pt nanoparticles (NPs) are fabricated via an in-situ thermal oxidation process. The performance of the resulting solar-blind ultraviolet (SBUV) photodetectors is enhanced by the localized surface plasmon resonance (LSPR) effect of the Pt NPs. Under zero bias and 254 nm illumination, the device decorated with a high proportion (≥90.4%) of small-sized (diameter ≤ 80 nm) Pt NPs exhibits a higher responsivity (3.2 mA W⁻¹) and a larger D* (8.7 × 10¹⁰ Jones) compare to the device without Pt NPs. As the proportion of larger-sized (> 80 nm) Pt NPs increases, charge redistribution is induced at the Pt/β-Ga₂O₃ interface, which strengthens the defect-related persistent photoconductivity (PPC) effect and switches the device operation from photovoltaic to photoconductive mode. Furthermore, the LSPR-enhanced β-Ga₂O₃/n-GaN heterojunction device realizes reconfigurable optoelectronic logic operations, including NOT, NAND, NOR, AND, and OR logic operations. This study provides an efficient approach for SBUV optoelectronic logic systems and lays the foundation for the development of low-power and highly integrated SBUV computing chips, showing great potential for advancing encrypted optical communication, multispectral imaging, and bioinspired sensing.

在这项工作中，通过原位热氧化工艺制备了用Pt纳米颗粒修饰的β-Ga2O3/n-GaN异质结。Pt纳米粒子的局部表面等离子体共振（LSPR）效应提高了太阳盲紫外（SBUV）光电探测器的性能。在零偏置和254 nm光照下，高比例（≥90.4%）的小尺寸（直径≤80 nm） Pt NPs装饰器件比没有Pt NPs的器件具有更高的响应度（3.2 mA W⁻1）和更大的D* （8.7 × 1010 Jones）。随着大尺寸（> 80 nm） Pt NPs比例的增加，在Pt/β-Ga2O3界面处诱导电荷重新分配，从而增强了缺陷相关的持续光导（PPC）效应，使器件从光伏模式切换到光导模式。此外，lspr增强的β-Ga2O3/n-GaN异质结器件实现了可重构的光电逻辑运算，包括NOT、NAND、NOR、AND和OR逻辑运算。该研究为SBUV光电逻辑系统提供了一种有效的方法，为低功耗、高集成度的SBUV计算芯片的发展奠定了基础，在推进加密光通信、多光谱成像和生物传感方面具有巨大潜力。

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引用次数: 0

OmniLens: Towards universal lens aberration correction via LensLib-to-specific domain adaptation OmniLens：通过lenslib对特定域的适应实现通用透镜像差校正

IF 5 2区物理与天体物理 Q1 OPTICS

Optics and Laser Technology

Pub Date : 2026-02-11 DOI: 10.1016/j.optlastec.2026.114858

Qi Jiang , Yao Gao , Shaohua Gao , Zhonghua Yi , Xiaolong Qian , Hao Shi , Kailun Yang , Lei Sun , Kaiwei Wang , Jian Bai

Emerging universal Computational Aberration Correction (CAC) paradigms provide an inspiring solution to lightweight and high-quality imaging with a universal model trained on a lens library (LensLib) to address arbitrary lens optical aberrations blindly. However, the limited coverage of existing LensLibs leads to poor generalization of the trained models to unseen lenses, whose fine-tuning pipeline is also confined to the lens-descriptions-known case. In this work, we introduce OmniLens, a flexible solution to universal CAC via (i) establishing a convincing LensLib with comprehensive coverage for pre-training a robust base model, and (ii) adapting the model to any specific lens designs with unknown lens descriptions via fast LensLib-to-specific domain adaptation. To achieve these, an Evolution-based Automatic Optical Design (EAOD) pipeline is proposed to generate a rich variety of lens samples with realistic aberration behaviors. Then, we design an unsupervised regularization term for efficient domain adaptation on a few easily accessible real-captured images based on the statistical observation of dark channel priors in degradation induced by lens aberrations. Extensive experiments demonstrate that the LensLib generated by EAOD effectively develops a universal CAC model with strong generalization capabilities, which can also improve the non-blind lens-specific methods by 0.35

\sim

1.81dB in PSNR. Additionally, the proposed domain adaptation method significantly improves the base model, especially in severe aberration cases (at most 2.59dB in PSNR). The code and data will be available at https://github.com/zju-jiangqi/OmniLens.

新兴的通用计算像差校正（CAC）范式为轻量级和高质量成像提供了一个鼓舞人心的解决方案，使用透镜库（LensLib）训练的通用模型来盲目解决任意透镜光学像差。然而，现有的LensLibs覆盖范围有限，导致训练模型对未见镜头的泛化效果较差，其微调管道也仅限于镜头-描述-已知情况。在这项工作中，我们介绍了OmniLens，这是一种灵活的通用CAC解决方案，通过(i)建立一个令人信服的LensLib，具有全面的覆盖范围，用于预训练稳健的基础模型，以及（ii）通过快速LensLib到特定域的适应，使模型适应具有未知镜头描述的任何特定镜头设计。为了实现这一目标，提出了一种基于进化的自动光学设计（EAOD）管道，以生成具有真实像差行为的丰富多样的透镜样品。然后，基于对透镜像差引起的退化的暗通道先验的统计观察，设计了一种无监督正则化项，用于对少量容易获取的真实图像进行有效的域自适应。大量实验表明，EAOD生成的LensLib有效地建立了具有较强泛化能力的通用CAC模型，并将非盲透镜特异性方法的PSNR提高了0.35 ~ 1.81dB。此外，提出的域自适应方法显著改善了基础模型，特别是在严重像差情况下（PSNR最高为2.59dB）。代码和数据可在https://github.com/zju-jiangqi/OmniLens上获得。

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引用次数: 0

Predicting PT-symmetric solitons in competing cubic–quintic saturable medium via enhanced PINN with quadratic residual and reinforcement learning-based sampling 基于二次残差和强化学习采样的增强PINN预测竞争三五次饱和介质中pt对称孤子

IF 5 2区物理与天体物理 Q1 OPTICS

Optics and Laser Technology

Pub Date : 2026-02-11 DOI: 10.1016/j.optlastec.2026.114887

Tian-Hao Zhou , Ru-Meng Zhao , Zheng-Xin Yu , Xin Yan , Ji-Tao Li , Chao-Qing Dai

Although physics-informed neural network (PINN) exhibit strong generalization and adaptability to physical constraints in solving nonlinear evolutional equations, their performance remains limited in accuracy and convergence efficiency when dealing with nonlinear Schrödinger equation (NLSE) featuring strong nonlinear coupling and non-Hermitian characteristics. This paper proposes an enhanced PINN framework that integrates a Quadratic Residual Network (QRes) with a reinforcement learning (RL)-based adaptive sampling strategy for high-precision prediction of soliton evolution in the (1 + 1)-dimensional PT-symmetric competing cubic–quintic saturable NLSE. The QRes architecture strengthens the network’s nonlinear mapping capability, enabling more accurate fitting of complex field evolution induced by the interplay of cubic–quintic competing nonlinearity, saturable correction, and PT-symmetric complex potential, while maintaining controllable network depth. The RL-based sampling strategy adaptively adjusts the sampling point distribution according to training errors, emphasizing regions with high gradients around soliton peaks and gain/loss balance, thereby enhancing the model’s learning of localized dynamical features. Numerical predictions of symmetric dipole, asymmetric, and symmetric tripole solitons demonstrate that the proposed method achieves markedly superior relative accuracy, convergence speed, and training stability compared with conventional PINN and sampling approaches such as Latin hypercube sampling and residual-based adaptive refinement with distance. This work provides a new pathway for extending PINN to complex optical and nonlinear wave systems.

尽管物理信息神经网络（PINN）在求解非线性演化方程时具有很强的泛化能力和对物理约束的适应性，但在处理具有强非线性耦合和非厄米特征的非线性Schrödinger方程（NLSE）时，其精度和收敛效率仍然有限。本文提出了一种增强的PINN框架，该框架将二次残差网络（QRes）与基于强化学习（RL）的自适应采样策略相结合，用于高精度预测（1 + 1）维pt对称竞争三次五次饱和NLSE中的孤子演化。QRes架构增强了网络的非线性映射能力，能够更准确地拟合由三次五次竞争非线性、饱和校正和pt对称复势相互作用引起的复杂场演化，同时保持网络深度可控。基于rl的采样策略根据训练误差自适应调整采样点分布，强调孤子峰值附近的高梯度区域和增益/损失平衡，从而增强模型对局部动态特征的学习能力。对对称偶极子、非对称和对称三极子孤子的数值预测表明，与传统的PINN和拉丁超立方采样和基于残差的距离自适应改进等采样方法相比，所提出的方法具有显著的相对精度、收敛速度和训练稳定性。这项工作为将PINN扩展到复杂光学和非线性波系统提供了新的途径。

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引用次数: 0

Observation of centrally converging airflow columns induced by heat accumulation in high-repetition-rate femtosecond laser filaments 高重复率飞秒激光细丝热积累引起的中心辐合气流柱的观察

IF 5 2区物理与天体物理 Q1 OPTICS

Optics and Laser Technology

Pub Date : 2026-02-11 DOI: 10.1016/j.optlastec.2026.114918

Zheyuan Hou , Xinyu Liu , Tie-Jun Wang , Yaoxiang Liu , Yingxia Wei , Xianwang Li , Yuxin Leng

This study first reveals a thermally driven airflow phenomenon in high-repetition-rate (1 ∼ 100 kHz) femtosecond laser filaments, characterized by the formation of a stable, perpendicularly oriented central converging airflow column. Using transverse optical shadowgraphy, we directly visualize the filament-induced flow dynamics and find that the airflow intensity and spatial coherence increase almost linearly with repetition rates above 10 kHz. Thermofluidic simulations indicate that cumulative heat deposition from successive pulses governs the evolution of airflow column, transforming initially diffuse vortices into a symmetric dual-vortex structure. And the particle-tracing simulations confirm that acoustic heating contributes negligibly to the overall flow dynamics. These findings further confirm that heat accumulation plays a predominant role in governing filament–air interactions and reveal a distinct thermally induced converging airflow phenomenon, offering new insight into the thermal dynamics of high-repetition-rate filamentation.

该研究首先揭示了高重复率（1 ~ 100 kHz）飞秒激光细丝中热驱动的气流现象，其特征是形成稳定的、垂直定向的中央收敛气流柱。利用横向光学阴影成像技术，我们直接看到了灯丝诱导的流动动力学，并发现气流强度和空间相干性随着重复频率在10 kHz以上几乎呈线性增加。热流体模拟表明，连续脉冲的累积热沉积控制了气流柱的演化，将最初的弥漫性涡转变为对称的双涡结构。粒子示踪模拟证实了声加热对整体流动动力学的影响可以忽略不计。这些发现进一步证实了热积累在控制丝-空气相互作用中起主导作用，并揭示了一种独特的热诱导辐合气流现象，为高重复率丝的热动力学提供了新的见解。

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引用次数: 0