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Structure regulation and performance optimization of low-dielectric borosilicate sealing glass for Kovar alloy 科瓦合金低介电硼硅酸盐密封玻璃的结构调整与性能优化
IF 3.5 3区 材料科学 Q1 MATERIALS SCIENCE, CERAMICS Pub Date : 2026-01-15 DOI: 10.1016/j.jnoncrysol.2026.123949
Jiachen Wang , Yinghu Sun , Qian Li , Zihao Sun , Wei Mu , Shenghua Ma , Xiaojun Han
To enhance signal transmission speed and reduce signal attenuation, the glass used for electronic packaging must have a low dielectric constant. This study explores the impact of increasing B2O3 content on the structure and performance of low-dielectric sealing glasses. Structural analysis shows that an increase in B2O3 content leads to the gradual replacement of [SiO4] units by [BO3] units in the sealing glass, and the porosity inside the sealing glass increases gradually. This results in a more loose structure, thereby effectively reducing the dielectric constant and improving its wettability on Kovar alloy. The sealing glass with a SiO2/B2O3 ratio of 1.71 exhibits the optimal performance: it has a dielectric constant of approximately 3.38 in the Ku band (12–17.5 GHz), a shear strength of 3.306 MPa on Kovar alloy, and a weight loss rate of 0.00204 g·cm-2 after being immersed in water at 90 °C for 12 h. While maintaining a low dielectric constant, it also possesses favorable thermal, mechanical, and water-resistant properties. This study provides a practical solution for designing high-performance sealing glasses for high-frequency microelectronics applications.
为了提高信号的传输速度,减少信号的衰减,用于电子封装的玻璃必须具有较低的介电常数。本研究探讨了B2O3含量的增加对低介电密封玻璃结构和性能的影响。结构分析表明,随着B2O3含量的增加,密封玻璃中的[SiO4]单元逐渐被[BO3]单元取代,密封玻璃内部孔隙率逐渐增大。这导致更松散的结构,从而有效地降低介电常数,提高其在Kovar合金上的润湿性。SiO2/B2O3比为1.71的密封玻璃表现出最佳性能:在Ku波段(12 - 17.5 GHz)介电常数约为3.38,对Kovar合金的抗剪强度为3.306 MPa,在90℃水中浸泡12 h后失重率为0.00204 g·cm-2,在保持较低介电常数的同时,还具有良好的热、力学和防水性能。该研究为设计高频微电子应用的高性能密封玻璃提供了一种实用的解决方案。
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引用次数: 0
High pressure derived SiHfBN ceramics: toward amorphous ceramics with exceptional hardness and thermal stability 高压衍生SiHfBN陶瓷:具有优异硬度和热稳定性的非晶陶瓷
IF 3.5 3区 材料科学 Q1 MATERIALS SCIENCE, CERAMICS Pub Date : 2026-01-14 DOI: 10.1016/j.jnoncrysol.2026.123957
Shuailing Ma , Wei Li , Kai Zhang , Jinxue Ding , Min Lian , Ning Chen , Tian Cui , Hailong Wang , Anke Weidenkaff , Ralf Riedel
The reinforcement of dense Si3N4-based ceramics with transition metal nitrides (e.g., HfN, TiN, ZrN) has attracted great attention owing to their potential to enhance mechanical properties and high temperature stability. In the present work, fully dense amorphous SiHfBN ceramics and polycrystalline HfN/α,β-Si3N4 ceramic composites were prepared by high-pressure and high-temperature (HPHT) technique using a polymer-derived amorphous SiHfBN precursor as raw material. The densification and crystallization behavior of the SiHfBN amorphous samples were studied under 5 GPa within a temperature range from 1000 °C to 1800 °C. The amorphous SiHfBN ceramics exhibit Vickers’ hardness and fracture toughness comparable to those of HfN/α,β-Si3N4 ceramic composites, reaching up to 17.37 GPa and 4.79 MPa·m1/2, respectively. Notably, the amorphous SiHfBN ceramics show improved oxidation resistance compared with that of the HfN/α,β-Si3N4 ceramic composites, with a mass loss of less than 2 wt % at 1500 °C in air. This work serves as a valuable reference for advancing the development of amorphous ceramics with outstanding mechanical properties and thermal stability.
利用过渡金属氮化物(如HfN、TiN、ZrN)增强致密si3n4基陶瓷具有提高力学性能和高温稳定性的潜力,因此引起了人们的广泛关注。本文以聚合物衍生的非晶SiHfBN前驱体为原料,采用高压高温(HPHT)技术制备了全致密非晶SiHfBN陶瓷和多晶HfN/α,β-Si3N4陶瓷复合材料。在1000 ~ 1800℃的温度范围内,研究了SiHfBN非晶样品在5 GPa下的致密化和结晶行为。非晶SiHfBN陶瓷的维氏硬度和断裂韧性可与HfN/α,β-Si3N4陶瓷复合材料相媲美,分别达到17.37 GPa和4.79 MPa·m1/2。值得注意的是,与HfN/α,β-Si3N4陶瓷复合材料相比,非晶SiHfBN陶瓷具有更好的抗氧化性能,在1500℃空气中质量损失小于2 wt %。本研究为进一步开发具有优异力学性能和热稳定性的非晶陶瓷提供了有价值的参考。
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引用次数: 0
Synthesis and mechanism of ultrasmall silica nanoparticles via microwave-assisted sol-gel method 微波辅助溶胶-凝胶法制备超小二氧化硅纳米颗粒及其机理
IF 3.5 3区 材料科学 Q1 MATERIALS SCIENCE, CERAMICS Pub Date : 2026-01-14 DOI: 10.1016/j.jnoncrysol.2026.123954
Yuxiang Zhang , Ning Tan , Kuixian Wei , Mingyang Kong , Wenhui Ma
In this study, ultrasmall silica nanoparticles (USNs) were controllably synthesized using a microwave-assisted sol-gel method, mitigating particle agglomeration and size non-uniformity. The effects of microwave heating temperature and power on particle size, surface morphology, and surface mesoporous volume were systematically investigated. The results revealed that increasing the temperature led to a decrease followed by a slight increase in particle size, with a similar trend observed upon varying the microwave power. Both parameters also affected the surface mesoporous volume and its distribution. Under the optimized conditions (343 K, 1200 W), the prepared USNs exhibited an average diameter of 39.6 ± 4.8 nm, a uniform spherical morphology, and a surface mesoporous volume of 0.734 cm3·g-1. TEM analysis confirmed that the particles possessed solid cores with surface mesopores. Biocompatibility tests demonstrated that the material induced no cytotoxic response in cell cultures, confirming good biomedical safety. Mechanistic investigation revealed that controlling microwave‑induced bubble dynamics and localized heating gradients enables a balance between nucleation and growth, thereby preventing morphological damage and enhancing dispersibility. Biocompatibility evaluation using MC3T3‑E1 cells confirmed negligible cytotoxicity, indicating suitability for biomedical applications. This work demonstrates a rapid and energy‑efficient route for fabricating high‑performance USNs, offering a strategy for nanomaterials targeting advanced applications.
在本研究中,采用微波辅助溶胶-凝胶法合成了超小二氧化硅纳米颗粒(USNs),减轻了颗粒团聚和尺寸不均匀性。系统研究了微波加热温度和功率对颗粒尺寸、表面形貌和表面介孔体积的影响。结果表明,随着温度的升高,颗粒尺寸先减小后略微增大,随着微波功率的变化,颗粒尺寸也呈现出相似的变化趋势。这两个参数也影响了表面介孔体积及其分布。在优化条件(343 K, 1200 W)下,制备的USNs平均直径为39.6±4.8 nm,形貌均匀,表面介孔体积为0.734 cm3·g-1。透射电镜分析证实,颗粒具有具有表面介孔的固体岩心。生物相容性试验表明,该材料在细胞培养中没有引起细胞毒性反应,证实了良好的生物医学安全性。机理研究表明,控制微波诱导气泡动力学和局部加热梯度,可以实现成核和生长之间的平衡,从而防止形貌损伤和提高分散性。使用MC3T3‑E1细胞进行的生物相容性评估证实,细胞毒性可以忽略不计,表明适合生物医学应用。这项工作展示了一种快速、节能的制造高性能usn的途径,为纳米材料的先进应用提供了一种策略。
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引用次数: 0
Deep learning framework for crack type detection in laminated glass based on ultrasonic and modal analysis using finite element simulations 基于超声和有限元模态分析的夹层玻璃裂纹类型深度学习检测框架
IF 3.5 3区 材料科学 Q1 MATERIALS SCIENCE, CERAMICS Pub Date : 2026-01-14 DOI: 10.1016/j.jnoncrysol.2026.123950
Elshan Ahani, Jian Yang
Widely used in modern architecture for their mechanical and aesthetic qualities, laminated glass is prone to brittle fracture and complex failure modes, thus advanced structural health monitoring (SHM) systems are necessary. Using finite element simulations of ultrasonic wave propagation and modal analysis, this work presents a fresh deep learning framework for detecting and classifying types of cracks (radial, concentric, delamination, and impact-induced) in laminated glass, with delamination considered as a known damage configuration introduced at the glass–interlayer interface. Augmented with dual attention mechanisms, a U-Net-inspired encoder-decoder neural network processes multi-channel piezoelectric sensor signals to attain exact crack type identification and signal reconstruction. Generated by COMSOL Multiphysics, a complete dataset of 1200 simulations captures modal frequencies and ultrasonic characteristics under diverse mechanical and environmental conditions, so supporting strong artificial neural network (ANN) training. With 95.23% accuracy, 95.60% precision, 94.80% recall, and a 95.19% F1-score above baseline models including AESC-PCA-Net, AE-CladNet, and AE-EnsClusterNet the proposed model achieves exceptional performance. Reliable real-time SHM is guaranteed by the framework with low false alarm rate (0.04) and high discriminative ability (AUC: 0.98). This work addresses environmental adaptability and computational efficiency by combining multi-modal non-destructive testing methods including ultrasonic testing and acoustic emission, so advancing automated crack detection for safer laminated glass applications in architectural design.
夹层玻璃以其优异的力学性能和美观性在现代建筑中得到了广泛的应用,但夹层玻璃易发生脆性断裂和复杂的破坏模式,因此需要先进的结构健康监测系统。利用超声波传播和模态分析的有限元模拟,这项工作提出了一个新的深度学习框架,用于检测和分类夹层玻璃中的裂纹类型(径向、同心、分层和冲击诱发),其中分层被认为是玻璃层间界面引入的已知损伤形态。在双注意机制的基础上,采用u - net启发的编码器-解码器神经网络对多通道压电传感器信号进行处理,以实现精确的裂纹类型识别和信号重构。由COMSOL Multiphysics生成的完整数据集包含1200个模拟,可捕获不同机械和环境条件下的模态频率和超声特性,从而支持强人工神经网络(ANN)训练。该模型的准确率为95.23%,精密度为95.60%,召回率为94.80%,比AESC-PCA-Net、AE-CladNet和AE-EnsClusterNet等基准模型的f1得分高出95.19%。该框架具有低虚警率(0.04)和高判别能力(AUC: 0.98),保证了可靠的实时SHM。本研究通过结合超声检测和声发射等多模态无损检测方法,解决了环境适应性和计算效率问题,从而推进了夹层玻璃在建筑设计中更安全应用的自动裂缝检测。
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引用次数: 0
Interpretable viscosity prediction of steelmaking slag integrating machine learning with SHAP explanation 结合机器学习和SHAP解释的炼钢渣可解释粘度预测
IF 3.5 3区 材料科学 Q1 MATERIALS SCIENCE, CERAMICS Pub Date : 2026-01-14 DOI: 10.1016/j.jnoncrysol.2026.123955
Guibin Jia, Ruyi Zhao, Wei Yan
Accurate and online viscosity predication is crucial for real-time monitoring and regulating steelmaking slag to fulfill the metallurgical requirements like slag splashing and slag foaming, etc. for achievement of intelligent steelmaking. Current viscosity predication capabilities remain constrained by the absence of robust models capable of addressing the steelmaking slag's multicomponent and non-Newtonian nature, particularly within medium-to-low temperature regimes where conventional viscosity models for fully liquid Newtonian melts exhibit limited applicability. In the current study, the viscosity predication models for multicomponent steelmaking slag system CaO-SiO₂-FetO-MgO-Al₂O₃-MnO-P₂O₅ were developed based on six machine learning (ML) algorithms integrated with SHapley Additive exPlanations (SHAP) interpretation framework, trained on the public literature-derived datasets. A multi-criteria rating-ranking decision approach was implemented to evaluate the overall predication performance using diverse metrics. The prediction model based on the extreme gradient boosting (XGB) algorithm of six ML models was found to demonstrated superior prediction accuracy, attaining a determination coefficient (R²) of 0.949, root mean square error (RMSE) of 0.163, and mean absolute error (MAE) of 0.101 for viscosity predication. Comparative analysis against RE-modified viscosity prediction models (integration of traditional models and Einstein-Roscoe model) revealed statistically significant superior of XGBoost model. SHAP interpretability analysis quantified feature importance, identifying CaO content as the primary contributor and temperature as the second modulator of viscosity predictions following by SiO2. This study advances viscosity predication capabilities for both Newtonian and non-Newtonian steelmaking slag systems, enabling real-time monitoring and regulating slag to support intelligent steelmaking.
准确、在线的粘度预测是实时监测和调节炼钢渣以满足溅渣、起泡渣等冶金要求,实现智能炼钢的关键。目前的粘度预测能力仍然受到限制,因为缺乏能够解决炼钢渣多组分和非牛顿性质的强大模型,特别是在中低温条件下,传统的全液体牛顿熔体粘度模型的适用性有限。在目前的研究中,多组分炼钢渣系统CaO-SiO₂-FetO-MgO-Al₂O₃-MnO-P₂O₅的粘度预测模型是基于六种机器学习(ML)算法开发的,该算法集成了SHapley加性解释(SHAP)解释框架,并在公共文献衍生的数据集上进行了训练。采用多标准评级-排序决策方法,利用多种指标对整体预测性能进行评价。结果表明,基于极限梯度增强(XGB)算法的6种ML模型预测精度较高,预测粘度的决定系数(R²)为0.949,均方根误差(RMSE)为0.163,平均绝对误差(MAE)为0.101。与re -修正粘度预测模型(传统模型与Einstein-Roscoe模型的整合)的对比分析显示,XGBoost模型具有显著的统计学优势。SHAP可解释性分析量化了特征的重要性,确定CaO含量是粘度预测的主要因素,温度是第二个调节器,其次是SiO2。该研究提高了牛顿和非牛顿炼钢渣系统的粘度预测能力,实现了对渣的实时监测和调节,以支持智能炼钢。
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引用次数: 0
Durable, alkaline-earth-modified Phosphosilicate glass with high transparency and broadband near-infrared shielding for energy-efficient architecture 耐用,碱土改性磷硅酸盐玻璃具有高透明度和宽带近红外屏蔽节能建筑
IF 3.5 3区 材料科学 Q1 MATERIALS SCIENCE, CERAMICS Pub Date : 2026-01-13 DOI: 10.1016/j.jnoncrysol.2026.123956
Guang Yang , Meng Zhang , Jiangyuan Li , Daiqi Zhou , Wenwen Wang , Donghui Zhao , Viktor Taktas , Xiaopeng Liu , Xiaoyan He
Ferrous ion-doped soda lime glass (Fe2+-SLG) has emerged as a promising candidate for energy-efficient windows due to its near-infrared (NIR) shielding properties. However, its commercial viability has been constrained by two critical limitations: suboptimal visible transparency (Tlum<70%) and insufficient NIR shielding in the 1500–2500 nm wavelength range, stemming from inadequate control over Fe2+ coordination environments. In this study, these challenges are addressed by tailoring alkaline-earth ions (Mg2+, Ca2+, Sr2+, and Ba2+) in phosphorosilicate glass matrices to develop a novel Fe2+-doped alkaline-earth phosphosilicate glass (Fe2+-AEPSG) system. Through compositional optimization, the Ca2+-modified glass (22Ca10P) demonstrates exceptional performance metrics: a Tlum of 79.04%, a solar modulation ability (FOM) of 1.83, and color difference (ΔE) of 4.33 approaching colorless glass standards. Compared to commercial Low-E glass, Fe2+-SLG, and CsxWO3-BMC glass, the 22Ca10P maintains comparable thermal insulation while offering superior Tvis, FOM, and a lower ΔE compared to colorless glass. In addition to its exceptional durability under elevated temperature and humidity conditions, the 22Ca10P exhibits remarkably low thermal expansion coefficient (6.26±0.02 × 10–6 / °C), demonstrates excellent thermal insulation under wind (16 m/s), and maintains exceptional dimensional stability through accelerated aging protocols simulating 50-year service life. Comparative stability tests confirm its superior performance over Low-E glass, establishing it as a next-generation solution for demanding thermal management applications. EnergyPlus simulations confirm its energy-saving potential in tropical and subtropical regions, with a maximum annual energy reduction of 51 kWh/m2 (11.6%) for double-glaze configurations. This work provides a cost-effective and scalable strategy to design high-performance, color-neutral energy-saving glass, advancing the development of smart windows for sustainable architecture.
掺铁离子钠石灰玻璃(Fe2+-SLG)由于其近红外(NIR)屏蔽性能而成为节能窗户的有前途的候选者。然而,由于对Fe2+配位环境控制不足,其商业可行性受到两个关键限制:不理想的可见光透明度(lum<70%)和1500-2500 nm波长范围内的近红外屏蔽不足。在本研究中,通过在磷硅酸盐玻璃基体中剪裁碱土离子(Mg2+, Ca2+, Sr2+和Ba2+)来开发一种新型的掺铁碱土磷硅酸盐玻璃(Fe2+-AEPSG)体系来解决这些挑战。通过成分优化,Ca2+改性玻璃(22Ca10P)表现出优异的性能指标:tum为79.04%,太阳调制能力(FOM)为1.83,色差(ΔE)为4.33,接近无色玻璃标准。与商用Low-E玻璃、Fe2+-SLG和CsxWO3-BMC玻璃相比,22Ca10P保持了相当的隔热性能,同时提供了卓越的Tvis、FOM和比无色玻璃更低的ΔE。除了在高温和高湿条件下具有优异的耐久性外,22Ca10P还具有非常低的热膨胀系数(6.26±0.02 × 10-6 /°C),在风(16 m/s)下具有出色的隔热性能,并通过模拟50年使用寿命的加速老化协议保持卓越的尺寸稳定性。相对稳定性测试证实了其优于Low-E玻璃的性能,使其成为要求苛刻的热管理应用的下一代解决方案。EnergyPlus的模拟证实了其在热带和亚热带地区的节能潜力,双釉配置的最大年能耗为51千瓦时/平方米(11.6%)。这项工作为设计高性能、色彩中性的节能玻璃提供了一种具有成本效益和可扩展的策略,推动了可持续建筑智能窗户的发展。
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引用次数: 0
Molecular dynamics simulation and experimental study on the evolution mechanism of radiation-induced defects in silica glass 硅玻璃辐射缺陷演化机理的分子动力学模拟与实验研究
IF 3.5 3区 材料科学 Q1 MATERIALS SCIENCE, CERAMICS Pub Date : 2026-01-13 DOI: 10.1016/j.jnoncrysol.2026.123953
Donglin Cai , Shangli Dong , Yubao Zhang , Hai Liu
Studying the damage mechanisms of high-purity silica glass under extreme irradiation conditions is essential for its use in aerospace, nuclear energy, and laser systems. This work combines experimental and computational methods to systematically investigate the damage behavior of silica glass under γ-ray and vacuum ultraviolet (VUV) irradiation. Through UV–Vis absorption spectroscopy and Gaussian peak deconvolution, the evolution of defects such as E′ center and non-bridging oxygen hole centers (NBOHC) was experimentally characterized. The results indicate that VUV irradiation mainly introduces surface defects, while γ-ray irradiation generates bulk defects. Moreover, samples with lower hydroxyl content (JGS3) demonstrate higher radiation sensitivity. On the modeling side, physical energy deposition models for both γ-ray and VUV irradiations were developed, and the progression of radiation-induced defects was simulated using molecular dynamics (MD). The simulations show that irradiation causes irreversible distortion of Si–O bond lengths and angles, with defect concentrations increasing continuously as a function of dose. Under VUV exposure, a significant number of surface defects form initially, followed by a slight reduction, suggesting surface relaxation. After incorporating hydroxyl groups into the models, the simulation outcomes showed strong agreement with experimental data, confirming that hydrogen passivation effectively suppresses defect formation. The consistent trends between experimental and simulation results validate the reliability of the proposed models in elucidating the microscopic mechanisms of irradiation damage. This study provides a solid theoretical basis for the anti-irradiation design and performance prediction of silica glass.
研究高纯度硅玻璃在极端辐照条件下的损伤机理对其在航空航天、核能和激光系统中的应用至关重要。本文采用实验和计算相结合的方法,系统地研究了石英玻璃在γ射线和真空紫外线(VUV)照射下的损伤行为。通过紫外-可见吸收光谱和高斯峰反卷积,实验表征了E′中心和非桥氧空穴中心(NBOHC)等缺陷的演化。结果表明,VUV辐照主要产生表面缺陷,而γ射线辐照产生体缺陷。此外,羟基含量较低的样品(JGS3)具有较高的辐射敏感性。在建模方面,建立了γ射线和VUV辐照的物理能量沉积模型,并利用分子动力学(MD)模拟了辐射诱导缺陷的过程。模拟结果表明,辐照引起Si-O键长度和键角的不可逆畸变,缺陷浓度随剂量的增加而不断增加。在VUV照射下,初始形成大量表面缺陷,随后略有减少,表明表面松弛。在模型中加入羟基后,模拟结果与实验数据非常吻合,证实了氢钝化能有效抑制缺陷的形成。实验结果与模拟结果的一致性验证了所建模型在阐明辐照损伤微观机理方面的可靠性。该研究为硅玻璃的抗辐照设计和性能预测提供了坚实的理论依据。
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引用次数: 0
A Two-step water addition strategy for enhanced microstructure and thermal performance of silica aerogel 两步加水策略增强二氧化硅气凝胶的微观结构和热性能
IF 3.5 3区 材料科学 Q1 MATERIALS SCIENCE, CERAMICS Pub Date : 2026-01-10 DOI: 10.1016/j.jnoncrysol.2026.123951
Aohan Li , Zhiqiang Cheng , Ruixiang Liu , Xueye Sui , Mengmeng Wang , Zhanfeng Li
Silica aerogel (SA) holds great promise for thermal insulation, yet its performance is highly dependent on its microstructure. This study presents a facile two-step water addition strategy within the acid–base sol–gel process to precisely control the SA architecture across multiple scales. By modulating the timing of water introduction, we achieved a more homogeneous network with reduced particle aggregation, higher porosity, and improved structural integrity. The resulting SA exhibits a small particle size (16.87 ± 2.57 nm), a high specific surface area (1101.78 m²/g) and a uniform pore size distribution (avg. 15.23 nm). After thermal treatment at 800 °C, the SAF retained excellent properties: only 7.37 % linear shrinkage, 97 % mass retention, high compressive strength (0.72 MPa), and a relatively low thermal conductivity (0.052 W/(m·K)). This work establishes a robust structure–property relationship in SAs and offers a scalable synthesis route for high-performance thermal insulation materials capable of operating under extreme conditions.
二氧化硅气凝胶(SA)在隔热方面具有很大的前景,但其性能高度依赖于其微观结构。本研究提出了一种在酸碱溶胶-凝胶过程中简便的两步加水策略,以精确控制多个尺度上的SA结构。通过调节注水时间,我们获得了一个更均匀的网络,减少了颗粒聚集,提高了孔隙率,提高了结构完整性。制备的SA具有粒径小(16.87±2.57 nm)、比表面积高(1101.78 m²/g)、孔径分布均匀(平均15.23 nm)等特点。经800℃热处理后,SAF保持了优良的性能:线收缩率仅为7.37%,质量保持率为97%,抗压强度高(0.72 MPa),导热系数相对较低(0.052 W/(m·K))。这项工作在SAs中建立了强大的结构-性能关系,并为能够在极端条件下工作的高性能绝热材料提供了可扩展的合成路线。
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引用次数: 0
Humidity-enabled photoluminescence resetting of the femtosecond laser-written perovskite patterns on glass 玻璃上飞秒激光写入钙钛矿图案的湿致光重设
IF 3.5 3区 材料科学 Q1 MATERIALS SCIENCE, CERAMICS Pub Date : 2026-01-10 DOI: 10.1016/j.jnoncrysol.2026.123952
Zhiqiang Wang , Fengyu Wang , Chengbo Zhao , Kai Yang , Shenghua Zhou , Liang Chen , Jianrong Qiu , Dezhi Tan
Luminescent patterning of perovskites has propelled the advancement of integrated optoelectronic applications, such as micro-LED, image sensors and photodetectors. These patterns with certain photoluminescence (PL) emission were mostly prepared independently on loading substrate surfaces where controllable PL shift of surface perovskite patterns under environmental stimuli remains challenging. This restricts the relevant optoelectronic applications such as anticounterfeiting and humidity monitoring. In this work, perovskite patterns were directly fabricated on precursor glass via femtosecond laser writing, and PL modulation, e.g., from blue to green, of the luminescent perovskite patterns was demonstrated via humidity treatment. Therein, it was proposed that humidity can promote the redistribution of perovskite ions in the pattern profile and recrystallize in accordance with the nominal halide stoichiometry of the precursor glass and exhibit certain PL emission wavelength. Interestingly, PL shift of the patterns on glass with different halide species still demonstrated the similar tendency. Experimentally, optoelectronic applications such as display and information encryption/decryption were explored. This work expanded the adjustability of micropatterns by the combination of laser direct writing and humidity treatment, which would advance the optoelectronic applications.
钙钛矿的发光模式推动了集成光电应用的进步,如微型led,图像传感器和光电探测器。这些具有一定光致发光(PL)发射的图案大多是在负载衬底表面独立制备的,其中表面钙钛矿图案在环境刺激下的可控光致发光位移仍然是一个挑战。这限制了相关的光电应用,如防伪和湿度监测。在这项工作中,通过飞秒激光写入直接在前驱体玻璃上制备钙钛矿图案,并通过湿度处理证明了发光钙钛矿图案的PL调制,例如从蓝色到绿色。在此基础上,提出湿度可以促进钙钛矿离子在图案轮廓中的重新分布,并按照前驱体玻璃的标称卤化物化学计量再结晶,并表现出一定的PL发射波长。有趣的是,在不同卤化物种类的玻璃上,图案的PL位移仍然表现出相似的趋势。实验上,探讨了光电应用,如显示和信息加密/解密。本工作通过激光直写和湿度处理相结合,扩大了微图案的可调节性,促进了光电应用。
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引用次数: 0
High-power laser delivery in nuclear environment using radiation-hardened fibers via controlled chlorine and hydroxyl content 通过控制氯和羟基含量,利用辐射硬化纤维在核环境中传输高功率激光
IF 3.5 3区 材料科学 Q1 MATERIALS SCIENCE, CERAMICS Pub Date : 2026-01-06 DOI: 10.1016/j.jnoncrysol.2025.123940
Yichong Chen , Minghui Shen , Xin Li , Chongyun Shao , Fan Wang , Qi Chen , Lei Zhang , Meng Wang , Chunlei Yu , Weifang Zheng , Lili Hu
The metallic cladding of spent nuclear fuel rods in nuclear power plants can be safely and efficiently cut using fiber lasers. Therefore, it is of great importance to develop silica fibers capable of transmitting high-power laser in high-radiation environments. However, inherent hydroxyl (OH) and chlorine (Cl) impurities in silica fibers adversely affect their radiation resistance. To fabricate silica fibers with high radiation resistance, this study prepared a series of glass samples with varying Cl/OH content using the Vapor Axial Deposition (VAD) method. The effects of radiation on the optical properties of the samples with different impurity concentrations, along with the underlying mechanisms, were investigated using absorption spectroscopy, photoluminescence spectroscopy, electron paramagnetic resonance (EPR), and photothermal absorption microscopy. Passive delivery fibers with a core diameter of 100 μm were fabricated using the rod-in-tube method. The influence of OH and Cl impurities on the fiber attenuation, laser delivery performance, and temperature rise coefficient was studied. The results indicate that the radiation resistance of medium-OH, Cl-free fibers is far superior to that of low-OH, high-Cl fibers. This research provides a reference for applying high power laser technology in high-radiation scenarios.
利用光纤激光可以安全有效地切割核电站乏燃料棒的金属包层。因此,开发能够在高辐射环境下传输高功率激光的硅光纤具有重要意义。然而,二氧化硅纤维中固有的羟基(OH)和氯(Cl)杂质会对其抗辐射性能产生不利影响。为了制备高抗辐射二氧化硅纤维,本研究采用气相轴向沉积(VAD)方法制备了一系列不同Cl/OH含量的玻璃样品。利用吸收光谱、光致发光光谱、电子顺磁共振(EPR)和光热吸收显微镜研究了辐射对不同杂质浓度样品光学性质的影响及其机制。采用管中棒法制备了芯径为100 μm的被动输送光纤。研究了OH和Cl杂质对光纤衰减、激光传输性能和温升系数的影响。结果表明,中等oh、无cl纤维的抗辐射性能远远优于低oh、高cl纤维。该研究为高功率激光技术在高辐射场景下的应用提供了参考。
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Journal of Non-crystalline Solids
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