Micro and Nanostructures最新文献_第7页

Novel bifunctional ZrV2O7@g-C3N4/rGO electrode with synergistic interface engineering for high-efficiency hydrogen evolution and advanced hybrid supercapacitor in alkaline media 具有协同界面工程的新型双功能ZrV2O7@g-C3N4/rGO电极，用于碱性介质中高效析氢和先进的混合超级电容器

IF 3 Q2 PHYSICS, CONDENSED MATTER

Micro and Nanostructures

Pub Date : 2026-03-01 Epub Date: 2025-12-16 DOI: 10.1016/j.micrna.2025.208528

Saba Khalil , Muneerah Alomar , Muhammad Ali Hamza Shahbaz , Mohammed Jalalah , Amir Muhammad Afzal , M.A. Diab , Farid A. Harraz

Hydrogen is emerging as a promising clean and sustainable energy carrier for energy generation and storage via electrolysis. The design of multifunctional electrodes that can catalyze and store energy is a significant issue. This paper presents a hierarchically engineered composite electrode incorporating a combination of redox-active species based binary transition metal oxide (ZrV₂O₇), with a conductive structure of g-C₃N₄ and rGO to provide an improved capacity of charge-storage. The optimized design facilitates fast diffusion of ions and charge transfer as well as stable electrochemical cycling with the resultant superior energy-storage capability and consistent HER electrocatalytic splitting capability. The ZrV₂O₇@g-C₃N₄–electrode delivers the highest specific capacity of 1123 Cg^-1 in Hg/HgO referencing cell system. The ZrV₂O₇@g-C₃N₄/rGO//AC-hybrid device presents the tunable charge storage response, with 35 Wh kg⁻¹ and 2559 W kg⁻¹, of 223 Cg^-1 of energy density (E_d), Power density (P_d), and specific capacity measurements. The ZrV₂O₇@g-C₃N₄–electrode provides enhanced HER kinetics with an overpotential of 57 mV and the Tafel slope of 61 mV.dec⁻¹, and outstanding cycling stability and durability. The efficient electrocatalytic response of the present ZrV₂O₇@g-C₃N₄/rGO electrode presents it as a hybrid, like platform, having a promising approach to next-generation hybrid devices in which energy conversion, high energy density, and fast power delivery can be simultaneously attained.

氢正在成为一种有前途的清洁和可持续的能源载体，用于通过电解发电和储存能源。能够催化和储存能量的多功能电极的设计是一个重要的问题。本文提出了一种分层设计的复合电极，该电极结合了氧化还原活性物质二元过渡金属氧化物（ZrV2O7），具有g-C3N4和rGO的导电结构，以提供改进的电荷存储能力。优化后的设计促进了离子的快速扩散和电荷转移，以及稳定的电化学循环，从而获得了卓越的储能能力和一致的HER电催化分裂能力。ZrV2O7@g-C3N4 -电极在Hg/HgO基准电池系统中提供最高的1123 Cg-1比容量。ZrV2O7@g-C3N4/rGO//交流混合装置具有可调的电荷存储响应，能量密度（Ed）、功率密度（Pd）和比容量测量值分别为35 Wh kg -1和2559 W kg -1。ZrV2O7@g-C3N4 -电极提供了增强的HER动力学，过电位为57 mV， Tafel斜率为61 mV.dec−1，并且具有出色的循环稳定性和耐久性。目前ZrV2O7@g-C3N4/rGO电极的高效电催化响应表明它是一个混合平台，具有下一代混合设备的有前途的方法，其中能量转换，高能量密度和快速电力输送可以同时实现。

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引用次数: 0

Design and simulation of HEMT-based sensor for Heavy Metal Ion detection with selectivity enhancement using ensemble methods 基于hemt的重金属离子检测传感器的设计与仿真

IF 3 Q2 PHYSICS, CONDENSED MATTER

Micro and Nanostructures

Pub Date : 2026-03-01 Epub Date: 2025-12-27 DOI: 10.1016/j.micrna.2025.208541

Mirunalini Aravindan , C. Periasamy , Ramanand A.C. , Muneeswaran Packiaraj , S. Raghavan , Preeth Raguraman

This work presents the design and optimization of AlGaN/GaN based High Electron Mobility Transistors (HEMT) with an Al

_{2}

O

_{3}

functionalization layer for the detection of Heavy Metal Ions (HMIs) in water. Silvaco TCAD simulations were used to optimize the HEMT structure and to test its response to varying concentrations of mercury (Hg

^{2 +}

) and lead (Pb

^{2 +}

) ions. The obtained simulation results demonstrate that the Al

_{2}

O

_{3}

functionalized HEMT structure exhibits notable sensitivity of 0.48 mV/(mg/mL) and 0.452 mV/(mg/mL) for Hg

^{2 +}

and Pb

^{2 +}

ions, respectively. However, the selectivity of the proposed sensor between the two ions is poor, which poses a challenge for accurate discrimination between different heavy metal ions. To address this limitation, a machine learning-based approach was employed, utilizing key electrical characteristics such as threshold voltage (Vth) and saturation current (

I_{D S S}

) to improve ion differentiation and selectivity. This proposed ML method provides a generalizable strategy for simultaneous detection and multi-ion quantification of coexisting metal ions. The simulation study also indicated that the proposed Al

_{2}

O

_{3}

functionalized AlGaN/GaN HEMT based sensor has potential applications in mercury and lead ion detection in an aqueous environment.

本文提出了一种基于Al2O3功能化层的AlGaN/GaN高电子迁移率晶体管（HEMT）的设计和优化，用于水中重金属离子（hmi）的检测。利用Silvaco TCAD模拟优化了HEMT结构，并测试了其对不同浓度汞（Hg2+）和铅（Pb2+）离子的响应。仿真结果表明，Al2O3功能化的HEMT结构对Hg2+和Pb2+离子的灵敏度分别为0.48 mV/(mg/mL)和0.452 mV/(mg/mL)。然而，该传感器在两种离子之间的选择性较差，这对准确区分不同重金属离子提出了挑战。为了解决这一限制，采用了基于机器学习的方法，利用阈值电压（Vth）和饱和电流（IDSS）等关键电特性来改善离子分化和选择性。该方法为共存金属离子的同时检测和多离子定量提供了一种可推广的策略。模拟研究还表明，Al2O3功能化的AlGaN/GaN HEMT传感器在水环境中的汞和铅离子检测中具有潜在的应用前景。

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引用次数: 0

Review of reliability of threshold voltage (Vth) extraction methods in silicon-based tunnel field effect transistors (TFETs) 硅基隧道场效应晶体管阈值电压（Vth）提取方法的可靠性综述

IF 3 Q2 PHYSICS, CONDENSED MATTER

Micro and Nanostructures

Pub Date : 2026-03-01 Epub Date: 2026-01-02 DOI: 10.1016/j.micrna.2025.208559

Vijaya Kumar K. , Rithika R. , Suresh Balanethiram , J. Indra

Threshold voltage (

V_{th}

) extraction in Tunnel Field-Effect Transistors (TFETs) remains a challenging task due to lack of inversion layer formation in channel region. In this work, we investigate the reliability of three widely used

V_{th}

extraction techniques: Constant Current (CC), Transconductance Change (TC), and Linear Extrapolation (LE) methods across ten silicon-based TFET structures featuring variations in spacer material, spacer length, gate oxide material, contact placement position and contact geometry. Simulations were performed at multiple drain voltages (

V_{DS}

= 0.01V, 0.5V, 1.0V, and 1.5 V) to study the influence of drain bias on threshold behavior. Our results reveal that the

V_{th}

dependence on

V_{DS}

due to Drain Induced Barrier Lowering (DIBL) is captured accurately in TC but not in CC. Also we inferred that LE method follows the trend of TC method. This comparative analysis highlights the inherent trade-offs between physical accuracy and bias sensitivity in different extraction methods and provides insights for selecting appropriate techniques in TFET modeling and circuit design.

隧道场效应晶体管（tfet）的阈值电压（Vth）提取一直是一项具有挑战性的任务，因为通道区域缺乏反转层的形成。在这项工作中，我们研究了三种广泛使用的Vth提取技术的可靠性：恒流（CC）、跨导变化（TC）和线性外推（LE）方法，这些方法跨越了10种硅基TFET结构，这些结构具有间隔材料、间隔长度、栅极氧化物材料、触点放置位置和触点几何形状的变化。在多个漏极电压（VDS = 0.01V、0.5V、1.0V和1.5 V）下进行仿真，研究漏极偏置对阈值行为的影响。我们的研究结果表明，由于漏极诱导屏障降低（DIBL）导致的Vth对VDS的依赖在TC中得到了准确的捕获，而在CC中没有得到准确的捕获，并且我们推断LE方法遵循了TC方法的趋势。这种比较分析强调了不同提取方法中物理精度和偏置灵敏度之间的内在权衡，并为在TFET建模和电路设计中选择适当的技术提供了见解。

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引用次数: 0

Study on the enhanced electric dipole transition ratio of europium (Eu3+) in strontium orthoborate red phosphor and its WLED applications 正硼酸锶红色荧光粉中铕（Eu3+）电偶极跃迁比的增强及其WLED应用研究

IF 3 Q2 PHYSICS, CONDENSED MATTER

Micro and Nanostructures

Pub Date : 2026-03-01 Epub Date: 2026-01-06 DOI: 10.1016/j.micrna.2026.208562

Shufang Li, Yunfeng Chen, Junqi Tang

Stable and efficient red-emitting phosphors hold significant application value for next-generation phosphor-converted white light-emitting diodes (pc-WLEDs). This study successfully synthesized europium-doped strontium orthoborate (Sr₃B₂O₆: Eu³⁺) red phosphors via a high-temperature solid-state reaction method. The phosphor samples were pure phase and had an average particle size of 1.99 ± 0.88 μm. Near the optimal doping concentration (x = 0.040), the integrated intensity contribution of the ⁵D₀ →⁷F₄ (704 nm) electric-dipole transition was significantly enhanced. The Sr₃B₂O₆ host matrix can effectively increase the electric-dipole transition of Eu³⁺, resulting in chromaticity coordinates (0.629, 0.348) close to those of standard red light and high color purity. The quantum efficiency of Sr_2.96B₂O₆:0.04Eu³⁺ is 33.76 %, with a fluorescence lifetime of 1.349 ms. Furthermore, its luminescence intensity at 498 K remained at 68.90 % of the room temperature intensity. The encapsulated pc-WLED device exhibits white emission with chromaticity coordinates of (0.334, 0.344), and located in the white region. The pc-WLED device also has a high color purity with a high color rendering index (CRI or Ra = 90) and correlated color temperature (CCT) of 5437 K. These results demonstrate the excellent application potential of this phosphor in the field of white LED lighting.

稳定高效的红色发光荧光粉对于下一代白光转换二极管（pc- wled）具有重要应用价值。本研究通过高温固相反应成功合成了铕掺杂的正硼酸锶（Sr3B2O6: Eu3+）红色荧光粉。所得荧光粉为纯相，平均粒径为1.99±0.88 μm。在最佳掺杂浓度（x = 0.040）附近，5D0→7F4 （704 nm）电偶极子跃迁的积分强度贡献显著增强。Sr3B2O6基质能有效提高Eu3+的电偶极跃迁，得到的色度坐标（0.629,0.348）接近标准红光，色纯度高。Sr2.96B2O6:0.04Eu3+的量子效率为33.76%，荧光寿命为1.349 ms。在498 K时，其发光强度保持在室温强度的68.90%。封装后的pc-WLED器件呈现白色发光，色度坐标为（0.334,0.344），位于白色区域。pc-WLED器件还具有较高的色纯度，显色指数高（CRI或Ra = 90），相关色温（CCT）为5437 K。这些结果表明该荧光粉在白光LED照明领域具有良好的应用潜力。

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引用次数: 0

Optimization of electron blocking layer composition in AlGaN ultraviolet light-emitting diodes using fuzzy embedded RNN and spider-tailed horned viper algorithm 基于模糊嵌入RNN和蜘蛛尾角毒蛇算法的AlGaN紫外发光二极管电子阻挡层组成优化

IF 3 Q2 PHYSICS, CONDENSED MATTER

Micro and Nanostructures

Pub Date : 2026-03-01 Epub Date: 2025-12-13 DOI: 10.1016/j.micrna.2025.208522

Aruna Dore, M. Manikandan

Optimization of Electron Blocking Layer (EBL) composition in Aluminum Gallium Nitride (AlGaN) Ultraviolet (UV) Light-Emitting Diodes (LEDs) represents an advanced device design framework where EBL properties are tuned to improve carrier injection, radiative recombination, and overall device efficiency. This setup supports the interaction between material composition, thickness, and LED performance parameters through predictive and optimization strategies; however, Internal Quantum Efficiency (IQE), Hole Injection Efficiency (HIE), carrier confinement efficiency, and efficiency droop may be suboptimal due to nonlinear dependencies and uncertainties in the EBL design space, potentially limiting overall device performance. Moreover, inefficient design selection, reduced optical output, and inaccurate performance predictions can further hinder the effectiveness of UV LEDs. To overcome these issues, this manuscript proposes a method for EBL optimization in AlGaN UV LEDs. The suggested hybrid technique combines Fuzzy Embedded Recurrent Neural Network (FERNN) and Spider-Tailed Horned Viper Optimization (STHVO), and is therefore called the FERNN-STHVO technique. The primary goal of the suggested technique is to maximize IQE, HIE, and carrier confinement efficiency, while minimizing efficiency droop. The FERNN predicts key LED performance parameters by capturing nonlinear relationships and handling uncertainties in the input design space. The STHVO tunes the FERNN weight parameter to achieve optimal device performance. By then, MATLAB is used to develop the suggested method, and it is contrasted with other current methods such as Extreme Gradient Boosting (XGBoost), Convolutional Neural Network (CNN), and JAYA Optimization Algorithm (JAYA). The suggested FERNN-STHVO method improves IQE to 53 %, enhances HIE to 72 %, and increases carrier confinement efficiency to 69 %. It also achieves a substantially higher efficiency droop reduction of 48 % and reduces leakage current by 56 %, thereby enabling balanced carrier dynamics, supporting stronger radiative recombination, and enhancing the overall performance and stability of AlGaN UV LEDs.

氮化铝镓（AlGaN）紫外（UV）发光二极管（led）中电子阻挡层（EBL）组成的优化代表了一种先进的器件设计框架，其中EBL性能被调整以提高载流子注入、辐射复合和整体器件效率。该装置通过预测和优化策略支持材料成分、厚度和LED性能参数之间的相互作用；然而，由于EBL设计空间中的非线性依赖关系和不确定性，内部量子效率（IQE）、空穴注入效率（HIE）、载流子约束效率和效率下降可能不是最优的，这可能会限制器件的整体性能。此外，低效的设计选择、光输出降低和不准确的性能预测会进一步阻碍UV led的有效性。为了克服这些问题，本文提出了一种AlGaN UV led的EBL优化方法。所提出的混合技术将模糊嵌入递归神经网络（FERNN）和蜘蛛尾角蝰优化（STHVO）相结合，因此称为FERNN-STHVO技术。所建议的技术的主要目标是最大化IQE、HIE和载流子限制效率，同时最小化效率下降。FERNN通过捕获非线性关系和处理输入设计空间中的不确定性来预测关键LED性能参数。STHVO调整了fern的权重参数，以达到最佳的器件性能。然后，利用MATLAB对该方法进行开发，并与现有的极端梯度增强（XGBoost）、卷积神经网络（CNN）、JAYA优化算法（JAYA）等方法进行对比。该方法将IQE提高到53%，将HIE提高到72%，将载流子约束效率提高到69%。它还实现了更高的效率下降48%，减少泄漏电流56%，从而实现平衡载流子动态，支持更强的辐射重组，并提高AlGaN UV led的整体性能和稳定性。

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引用次数: 0

Next-generation nanostructured graphene–Cr–fe3O4–ZrO2 solar absorber: AI-driven performance prediction and optimization for renewable energy applications 下一代纳米结构石墨烯- cr - fe3o4 - zro2太阳能吸收剂：人工智能驱动的可再生能源应用性能预测和优化

IF 3 Q2 PHYSICS, CONDENSED MATTER

Micro and Nanostructures

Pub Date : 2026-03-01 Epub Date: 2025-12-14 DOI: 10.1016/j.micrna.2025.208527

Ammar Armghan , Bo Bo Han , Ashish Baldania , Khaled Aliqab , Meshari Alsharari , Yogesh Sharma , Shobhit K. Patel

Solar energy is essential for driving the transition toward a clean and sustainable energy cycle. Research on solar absorbers is a key focus in solar energy systems, as it directly contributes to improved energy harvesting performance. The current design with the material composition of the Cr–Fe₃O₄–ZrO₂ and a graphene nanostructure is applied in the investigation of the current solar structure. The current absorber can work in the ultra-wideband (UV-MIR) spectra and with an efficient rate of 94.66 % for 2800 nm. Moreover, the current solar absorber can reach 97.38 % for 1000 nm with the proficient square-resonator design. We distributed the machine learning section in the current work to describe the predicted and actual value output in each parameter with the linear regression method. With the good efficiency of radiation, the current research can be used as a renewable energy option in hatcheries and dairies, swimming pool warming, the agricultural sector, health clubs, boiler feed, and so on.

太阳能对于推动向清洁和可持续能源循环过渡至关重要。太阳能吸收体的研究是太阳能系统研究的一个热点，它直接影响着太阳能收集性能的提高。目前设计的材料成分为Cr-Fe3O4-ZrO2和石墨烯纳米结构，应用于当前太阳能结构的研究。电流吸收剂可以在超宽带（UV-MIR）光谱中工作，在2800 nm的效率为94.66%。此外，通过熟练的方形谐振腔设计，目前的太阳能吸收器在1000 nm范围内可达到97.38%。我们在当前的工作中分配了机器学习部分，用线性回归的方法描述每个参数的预测值和实际值输出。凭借良好的辐射效率，目前的研究可以作为一种可再生能源选择，用于孵化场和奶牛场、游泳池供暖、农业部门、健身俱乐部、锅炉饲料等。

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引用次数: 0

Structural, morphological, optical, and electromechanical analysis of green-synthesized Ti-doped ZnO nanoparticles for optoelectronic applications 绿色合成ti掺杂ZnO纳米粒子的结构、形态、光学和机电分析

IF 3 Q2 PHYSICS, CONDENSED MATTER

Micro and Nanostructures

Pub Date : 2026-03-01 Epub Date: 2025-12-24 DOI: 10.1016/j.micrna.2025.208537

V.V. Manju , R. Sanjana , Vinayakprasanna N. Hegde , S. Divakara , B.C. Hemaraju , Janya Lumbini , Namratha , N. Raghu , R. Somashekar

In this study titanium (Ti⁴⁺) doped zinc oxide (ZnO) nanoparticles were synthesized via a green solution combustion method employing Calotropis gigantea as fuel. Employing various characterization techniques, the structural, morphological, elastic, and electromechanical properties were studied. The Rietveld refinement confirms the presence of hexagonal wurtzite structure with lattice strain induced by Ti⁴⁺ substitution. The computational simulation using GULP reveals how Ti⁴⁺ doping modifies the mechanical stiffness and dielectric response of ZnO by showing direction-dependent elastic and dielectric behaviour. The crystallite size obtained using Scherrer equation and dislocation density have shown a non-linear trend with optimal grain growth at 5 % of Ti⁴⁺ as observed in 3D map. Electron density (ED) mapping reveals evolving symmetry and strain distribution across doping levels. The analysis of surface texture highlights enhanced surface waviness and roughness with heterogeneity. The shift in vibrational modes can be seen in FTIR spectra, affirming dopant incorporation and reduced surface organics. A tunable bandgap from 3.25 to 3.50 eV have been obtained using UV–Vis absorption, showing potential for optoelectronics. These materials have application in UV-protective coatings, sensors, and photocatalytic systems.

本研究采用绿色溶液燃烧的方法合成了钛（Ti4+）掺杂氧化锌（ZnO）纳米颗粒。采用各种表征技术，研究了结构、形态、弹性和机电性能。Rietveld细化证实了Ti4+取代引起晶格应变的六方纤锌矿结构的存在。利用GULP的计算模拟揭示了Ti4+掺杂如何通过显示方向相关的弹性和介电行为来改变ZnO的机械刚度和介电响应。用Scherrer方程计算的晶粒尺寸和位错密度呈非线性趋势，在Ti4+含量为5%时晶粒生长最佳。电子密度（ED）映射揭示了在掺杂水平上不断变化的对称性和应变分布。表面纹理分析表明，表面波纹度和粗糙度增强，具有非均质性。在FTIR光谱中可以看到振动模式的转变，这证实了掺杂剂的掺入和表面有机物的减少。利用紫外-可见吸收获得了3.25 ~ 3.50 eV的可调带隙，显示出光电子学的潜力。这些材料在防紫外线涂层、传感器和光催化系统中有广泛的应用。

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引用次数: 0

Design and performance investigation of heterojunction electrically doped junctionless TFET for label-free biomolecule detection considering ambipolar conduction 考虑双极性传导的无标记生物分子检测用异质结电掺杂无结TFET的设计与性能研究

IF 3 Q2 PHYSICS, CONDENSED MATTER

Micro and Nanostructures

Pub Date : 2026-03-01 Epub Date: 2026-01-06 DOI: 10.1016/j.micrna.2026.208564

Priyanka Kwatra , Sajai Vir Singh , Kaushal Nigam , Mukesh Kumar Bind

Present study proposes a biosensor built around heterojunction electrically doped junctionless TFET to obtain label-free biomolecule surveillance to lower fabrication sophistication and expense of nanotechnology biosensors. Dielectric constants of different immobilized biomolecules in interior of nano cavity are changed to determine shift in ambipolar current, perceived as sensing variable. In suggested device, polarity gate-1 (PG-1) bias of 1.2 V and PG-2 bias of −1.2 V, is applied across heterojunction to stimulate n⁺ and p⁺, drain and source, correspondingly. Portion of dielectric oxide layer is etched towards drain channel tunnelling intersection to create nanogap cavity underneath PG-1 terminal, used to trap biomolecule test specimens. Presence of neutral and charged molecules inside cavities have been examined through modifications to electrical properties of suggested biosensor, including electric field, drain current, etc. Subthreshold swing, drain current, threshold voltage, switching ratio, and transconductance-to-current ratio are used to assess suggested biosensor's sensing capability. Suggested HJ-CD-ED-JLTFET biosensor, employing a neutral biomolecule having a dielectric constant of 12, reaches absolute maximum sensitivity of 3.86 × 10⁹ assuming a fully packed nanocavity. To comprehend potential difficulties, implications of non-ideal problems on sensitivity, such as various fill factors (FFs), locations of biomolecules and steric hindrances, are investigated for suggested biosensor.

本研究提出了一种围绕异质结电掺杂无结TFET构建的生物传感器，以实现无标记的生物分子监测，从而降低纳米技术生物传感器的制造复杂性和成本。通过改变纳米腔内不同固定化生物分子的介电常数来确定双极电流的位移，并将其视为传感变量。在该装置中，极性栅极-1 （PG-1）偏置为1.2 V， PG-2偏置为- 1.2 V，在异质结上施加相应的刺激n+和p+，漏极和源极。在PG-1终端下方蚀刻部分介质氧化物层，形成纳米隙腔，用于捕获生物分子测试样品。通过修改建议的生物传感器的电学特性，包括电场、漏极电流等，研究了腔内中性和带电分子的存在。亚阈值摆幅、漏极电流、阈值电压、开关比和跨导电流比用于评估建议的生物传感器的传感能力。本文提出的HJ-CD-ED-JLTFET生物传感器，采用介电常数为12的中性生物分子，在完全填充纳米腔的情况下，绝对最大灵敏度为3.86 × 109。为了理解潜在的困难，研究了非理想问题对灵敏度的影响，如各种填充因子（FFs）、生物分子的位置和空间位阻。

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引用次数: 0

Precise prediction of transmission characteristics in triangle hybrid plasmonic waveguide based on convolutional neural networks 基于卷积神经网络的三角混合等离子波导传输特性精确预测

IF 3 Q2 PHYSICS, CONDENSED MATTER

Micro and Nanostructures

Pub Date : 2026-03-01 Epub Date: 2025-12-30 DOI: 10.1016/j.micrna.2025.208548

Shangxuan Sun , Ming Cai , Han Su , Min Lu , Xiaomin He , Tao Lin , Zhaonian Yang , Shulong Wang

Hybrid plasmonic waveguides represent advanced optical transmission structures with significant potential for applications in integrated photonics. Relative to traditional plasmonic waveguides, the lower transmission losses and longer propagation distances are shown in hybrid plasmonic waveguides. However, existing designs for hybrid plasmonic waveguides predominantly rely on standard finite element simulation methods. Such methods are computationally intensive and inefficient, consequently hindering the development of novel device architectures. To address the limitation, this study developed a predictive model for the transmission characteristics of the triangle hybrid plasmonic waveguide by combining a dataset on the order of 10⁴ elements generated via finite element simulations with a convolutional neural network (CNN). With different geometric parameters, the model delivers rapid and accurate predictions of key properties in hybrid triangular plasmonic waveguides, including the figure of merit, propagation length, normalized effective mode area, and the imaginary part of the effective refractive index for the triangular hybrid plasmonic waveguide. The approach accelerates simulations by approximately 6.05 × 10² times compared to traditional COMSOL simulations. Predictions from the CNN model demonstrate close agreement with COMSOL results, showing a higher R² value of 0.989, outperforming conventional machine learning methods. The model enables swift and precise determination of optimal structural dimensions, significantly reducing the costs of designing and fabricating triangular hybrid plasmonic waveguides. Additionally, the proposed model exhibits broad applicability and can serve as a transfer learning foundation for predicting analogous waveguide structures, thereby substantially contributing to the engineering deployment of hybrid plasmonic optical waveguides.

混合等离子波导是一种先进的光传输结构，在集成光子学领域具有重要的应用潜力。与传统等离子体波导相比，混合等离子体波导具有更低的传输损耗和更长的传播距离。然而，现有的混合等离子体波导设计主要依赖于标准的有限元模拟方法。这样的方法是计算密集型和低效的，因此阻碍了新器件体系结构的发展。为了解决这一局限性，本研究将有限元模拟生成的104个元素的数据集与卷积神经网络（CNN）相结合，开发了三角形混合等离子体波导传输特性的预测模型。在不同几何参数下，该模型能够快速准确地预测三角混合等离子体波导的关键特性，包括优值、传播长度、归一化有效模面积和有效折射率的虚部。与传统的COMSOL模拟相比，该方法的模拟速度提高了约6.05 × 102倍。CNN模型的预测结果与COMSOL的结果非常吻合，R2值为0.989，优于传统的机器学习方法。该模型能够快速准确地确定最佳结构尺寸，显著降低设计和制造三角形混合等离子体波导的成本。此外，所提出的模型具有广泛的适用性，可以作为预测类似波导结构的迁移学习基础，从而大大有助于混合等离子体光波导的工程部署。

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引用次数: 0

Corrigendum to “Designing CoTb2O4 electrodes integrated with MoTe2 and graphene for high-performance supercapacitors and HER catalysis” [Micro Nanostruct., 209 (2026) 208457] “设计用于高性能超级电容器和HER催化的MoTe2和石墨烯集成的CoTb2O4电极”[微纳米结构]的更正。， 209 (2026) 208457]

IF 3 Q2 PHYSICS, CONDENSED MATTER

Micro and Nanostructures

Pub Date : 2026-03-01 Epub Date: 2026-01-08 DOI: 10.1016/j.micrna.2025.208535

Sohail Mumtaz , Sameerah I. Al-Saeedi , Arfan Razzaq , Muhammad Imran , Muhammad Azhar Mumtaz , Amir Muhammad Afzal , M.A. Diab , Heba A. El-Sabban

引用次数: 0