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学者姓名:王如志
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Abstract :
The formation and propagation of microcracks are critical stages leading to fatigue failure. Traditional methods for microcrack analysis essentially rely on manual detection, which poses challenges in accuracy and efficiency. The present investigation deals with a novel and highly effective strategy for detecting, classifying, and analyzing fatigue microcracks in Ti-6Al-4 V (TC4) titanium alloy with artificial intelligence (AI) in the context of deep learning. By integrating in-situ scanning electron microscope (SEM) images and convolutional neural network (CNN) algorithm, we propose a PGI-CrackNet model that is able to detect microcracks of length around 15 mu m and thereby effectively outperform the detection capabilities of traditional models. Based on fracture mechanics models, the proposed model is capable of automatically identifying the main stages (i.e., initial crack, type I crack, type II crack, and break) in the formation of microcracks. Simultaneously, the proposed model bridges the gap between the AI-based image analysis and the physical crack propagation models, enabling the extraction of key information such as microcrack length and width, and further supporting the analysis of fatigue crack growth rates associated with various microcrack stages. The model could discover that in the initiation stage, the crack of TC4 titanium alloy grows at a fairly slow rate (similar to 3.6 mu m/cycle) and occupies most of the crack life cycle. After the initiation stage, the crack first propagates as the type I cracks with a significantly faster crack growth rate (similar to 50 mu m/cycle). Then, the type II crack occurs with a substantially reduced growth rate (similar to 25 mu m/cycle). In the final stage, as the microcrack reaches a critical size, the growth rate increases sharply, leading to break. In summary, this improved PGI-CrackNet-based model enables more accurate tracking of crack growth over the fatigue life of materials and better classification of crack types based on their propagation mechanisms, making it highly suitable for early warning applications of material failure.
Keyword :
Alloy fatigue Alloy fatigue Efficient analysis Efficient analysis Deep learning Deep learning Intelligent identification Intelligent identification Microcrack Microcrack
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GB/T 7714 | Chang, Zhipeng , Wang, Changhao , Wang, Qianwei et al. High-Precision identification and classification of alloy fatigue microcracks through deep learning and in-situ SEM [J]. | COMPUTATIONAL MATERIALS SCIENCE , 2025 , 252 . |
MLA | Chang, Zhipeng et al. "High-Precision identification and classification of alloy fatigue microcracks through deep learning and in-situ SEM" . | COMPUTATIONAL MATERIALS SCIENCE 252 (2025) . |
APA | Chang, Zhipeng , Wang, Changhao , Wang, Qianwei , Cheng, Xiaopeng , Wang, Chao , Liu, Xingping et al. High-Precision identification and classification of alloy fatigue microcracks through deep learning and in-situ SEM . | COMPUTATIONAL MATERIALS SCIENCE , 2025 , 252 . |
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Abstract :
Terahertz radiation is essential for applications such as optical imaging, data transportation, and material characterization. However, conventional electronic devices struggle to generate and modulate terahertz radiation effectively. Metasurfaces offer a promising solution by manipulating light at the subwavelength scale. This study introduces a novel approach for fabricating subwavelength optical gratings using femtosecond lasers to modulate terahertz reflection and transmission, achieving modulation rates ranging from 0.3 % to 99.9 % across wavelengths of 100 to 200 mu m. We developed and validated two machine learning-based forward prediction models with R2 values of 0.999 and 0.982, respectively, to predict the structure and optical properties of laser- fabricated gratings. Additionally, two inverse design models were constructed, enabling precise determination of optimal design structures and laser processing parameters for desired optical properties, with R2 values of 0.989 for two-structure models and 0.878 for three-structure models. The lower accuracy of the three-structure model reflects its inherent complexity. Experimental validation confirms the effectiveness of these neural network- based models in advancing the manufacturability and application of terahertz metasurfaces.
Keyword :
Femtosecond Laser Fabrication Femtosecond Laser Fabrication Terahertz Metasurfaces Terahertz Metasurfaces Inverse Design Inverse Design Machine Learning Machine Learning
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GB/T 7714 | Wang, Bing , Song, Jie , Wang, Jingjing et al. Advanced Machine learning models for inverse design and digital manufacturing of terahertz metasurfaces using femtosecond laser technology [J]. | OPTICS AND LASER TECHNOLOGY , 2025 , 186 . |
MLA | Wang, Bing et al. "Advanced Machine learning models for inverse design and digital manufacturing of terahertz metasurfaces using femtosecond laser technology" . | OPTICS AND LASER TECHNOLOGY 186 (2025) . |
APA | Wang, Bing , Song, Jie , Wang, Jingjing , Wang, Ruzhi , Lam, Yee Cheong . Advanced Machine learning models for inverse design and digital manufacturing of terahertz metasurfaces using femtosecond laser technology . | OPTICS AND LASER TECHNOLOGY , 2025 , 186 . |
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Abstract :
The study on the uniform deposition of metal seed layers on the inner wall of TGV using magnetron sputtering has attracted significant attention. We primarily studied the film growth mechanism through the model, focusing on particle incidence, surface diffusion, particle scattering, and particle cluster nucleation. The effects of each mechanism on the final outcome of non-planar film growth and the non-planar conformal coverage rate are described in the form of probability functions. When the RF sputtering power was increased from 100 to 200W, the simulation results showed that the central CCR of the TGV increased from 8.03 to 10.76%. Experimental results indicated that the average central CCR of the TGV increased from 7.03 to 9.38%. When the sputtering gas was switched from 40 sccm Ar to 40 sccm Ar-2 sccm N2, the simulation results revealed that the central CCR of the TGV increased from 8.03 to 15.76%, while experimental results showed that the average central CCR increased from 7.03 to 13.46%. Additionally, we calculated the percentage errors of the CCR between the theoretical simulations and experimental tests under three different processes. The errors were 12.3%, 8.12%, and 6.75%, respectively.
Keyword :
Through Glass Via (TGV) Through Glass Via (TGV) Magnetron Sputtering Magnetron Sputtering Monte Carlo Methods Monte Carlo Methods Non-plane Film Non-plane Film
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GB/T 7714 | Zhou, Xinyu , Zhang, Xun , Liu, Songlin et al. Non-plane film and its growth mechanism by magnetron sputtering deposition on glass through via substrate [J]. | APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING , 2025 , 131 (4) . |
MLA | Zhou, Xinyu et al. "Non-plane film and its growth mechanism by magnetron sputtering deposition on glass through via substrate" . | APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING 131 . 4 (2025) . |
APA | Zhou, Xinyu , Zhang, Xun , Liu, Songlin , Zhang, Jingyang , Cao, Zhilin , Chang, Zhipeng et al. Non-plane film and its growth mechanism by magnetron sputtering deposition on glass through via substrate . | APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING , 2025 , 131 (4) . |
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Abstract :
Recently, researchers have realized various exotic electromagnetic control devices using the coded metasurfaces, sparking a broad investigation into the phase or amplitude-based encoding method, as well as their combination, in the field of metasurface design. In this paper, to evaluate the influence of random mutual coupling between the adjacent element on the scattering performance of metasurface, and also to minimize the backward radar cross section (RCS) of metal plate targets, a novel encoding approach combining the reflection phase and element-form has been proposed. During the implementation process, an anisotropic hypocycloid inspired 3-bit digital coding metasurface was designed. It consists of 9 different element-forms, with each capable of providing 7 phase states. Simulation results demonstrate that the random mutual coupling introduced by the proposed elements does not significantly affect the RCS performance of the metasurface. With a good polarization insensitivity property for both linearly and circularly polarized waves, the designed 3-bit digital coding metasurface can achieve more than 20 dB RCS reduction at 10 GHz, while simultaneously transmitting additional information by encoding the element forms. The good consistency between theoretical simulation and sample testing unequivocally validates the precision of the design, this paper may serve as a useful reference for expanding the design methods of metasurfaces.
Keyword :
digital coding metasurface digital coding metasurface genetic algorithm (GA) genetic algorithm (GA) radar cross-section (RCS) reduction radar cross-section (RCS) reduction random mutual coupling random mutual coupling
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GB/T 7714 | Wang, Chao , Wang, Wen-Song , Li, Yan-Ling et al. Anisotropic hypocycloid inspired 3-bit digital coding metasurface for radar cross section reduction [J]. | JOURNAL OF PHYSICS D-APPLIED PHYSICS , 2025 , 58 (3) . |
MLA | Wang, Chao et al. "Anisotropic hypocycloid inspired 3-bit digital coding metasurface for radar cross section reduction" . | JOURNAL OF PHYSICS D-APPLIED PHYSICS 58 . 3 (2025) . |
APA | Wang, Chao , Wang, Wen-Song , Li, Yan-Ling , An, Lei , Niu, Fei , Wang, Ru-Zhi et al. Anisotropic hypocycloid inspired 3-bit digital coding metasurface for radar cross section reduction . | JOURNAL OF PHYSICS D-APPLIED PHYSICS , 2025 , 58 (3) . |
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Abstract :
近年来,基于超材料的电磁吸波器件由于其宽带、易制备等优势而备受各国研究者的广泛关注.本文为实现宽带电磁低可探测,提出一种渐变电阻膜-介质复合结构的超材料吸波器.基于传输线理论和阻抗匹配原理,对强吸波条件进行了分析.在单元结构设计方面,采用遗传算法在多变量域内全局搜索最优解,快速地确定出能够兼顾低频与宽带吸波性能的超材料单元结构与电阻参数,并对器件吸波性能与吸波机理进行了深入的探讨.仿真结果表明,在垂直入射下,所设计的超材料吸波器对1.62—19.16 GHz (相对带宽168.8%)之间的入射波吸收率均大于90%,有效地向L和K波段拓展了吸收带宽.虽然在部分频段测试和仿真结果之间存在一定偏差,但两种类型的曲线随频率的变化趋势基本一致,这充分证明了所设计的超材料吸波器在低频宽带吸波领域具有潜在应用价值.
Keyword :
渐变电阻膜 渐变电阻膜 遗传算法 遗传算法 超材料吸波体 超材料吸波体
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GB/T 7714 | 王超 , 李绣峰 , 张生俊 et al. 基于遗传算法的宽带渐变电阻膜超材料吸波器设计 [J]. | 物理学报 , 2024 , 73 (07) : 117-127 . |
MLA | 王超 et al. "基于遗传算法的宽带渐变电阻膜超材料吸波器设计" . | 物理学报 73 . 07 (2024) : 117-127 . |
APA | 王超 , 李绣峰 , 张生俊 , 王如志 . 基于遗传算法的宽带渐变电阻膜超材料吸波器设计 . | 物理学报 , 2024 , 73 (07) , 117-127 . |
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Abstract :
Adopting noble metals on non-noble metals is an effective strategy to balance the cost and activity of electrocatalysts. Herein, a thorough analysis of the synergistic OER is conducted at the heterogeneous interface formed by Ir clusters and NiCo2O4 based on DFT calculations. Specifically, the electrons spontaneously bring an e(g) occupancy of interfacial Ir close to unity after the absorbed O, providing more transferable electrons for the conversion of the absorbed O-intermediates. Besides, the diffuse distribution of electrons in the Ir 5d orbital fills the antibonding orbital after O is absorbed, avoiding the desorption difficulties caused by the stronger Ir-O bonds. The electrons transfer from Ir to Co atoms at the heterogeneous interface and fill the Co 3d band near the Fermi level, stimulating the interfacial Co to participate in the direct O-O coupling (DOOC) pathway. Experimentally, the ultrathin-modulated NiCo2O4 nanosheets are used to support Ir clusters (Ir-cluster-E-NiCo2O4) by the electrodeposition method. The as-synthesized Ir-cluster-E-NiCo2O4 catalyst achieves a current density of 10 mA cm(-2) at an ultralow overpotential of 238 mV and works steadily for 100 h under a high current of 100 mA cm(-2), benefiting from the efficient DOOC pathway during the OER.
Keyword :
heterogeneous interfaces heterogeneous interfaces NiCo2O4 NiCo2O4 oxygen evolution reaction oxygen evolution reaction Ir clusters Ir clusters direct O-O coupling direct O-O coupling
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GB/T 7714 | Yang, Meng-Qi , Zhou, Kai-Ling , Zhao, Wei et al. Synergistic Assistance of Ir Clusters and NiCo2O4 Nanosheets Interfaces in Direct O-O Coupling for High-Efficiency Alkaline Oxygen Evolution [J]. | ACS APPLIED MATERIALS & INTERFACES , 2024 . |
MLA | Yang, Meng-Qi et al. "Synergistic Assistance of Ir Clusters and NiCo2O4 Nanosheets Interfaces in Direct O-O Coupling for High-Efficiency Alkaline Oxygen Evolution" . | ACS APPLIED MATERIALS & INTERFACES (2024) . |
APA | Yang, Meng-Qi , Zhou, Kai-Ling , Zhao, Wei , Wang, Changhao , Chen, Ge , Wang, Ru-Zhi . Synergistic Assistance of Ir Clusters and NiCo2O4 Nanosheets Interfaces in Direct O-O Coupling for High-Efficiency Alkaline Oxygen Evolution . | ACS APPLIED MATERIALS & INTERFACES , 2024 . |
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Abstract :
采用基于密度泛函理论的投影平面波方法,对Ruddlesden-Popper(RP)层状钙钛矿结构Bi8Ba4Mn8O28的电子结构和磁学性质进行了自旋极化计算.由于A位Ba的替位掺杂,造成MnO6八面体发生显著旋转、倾斜等畸变,会对电子结构与磁性产生较大影响,对此进行了充分的讨论.考虑在位库伦作用修正的广义梯度近似(GGA+U)的计算表明,Bi8Ba4Mn8O28基态为铁磁半金属,其半金属能隙3.07 eV,晶胞总磁矩为31μB.Bi8Ba4Mn8O28的晶胞磁矩主要来自Mn原子磁矩的贡献,而Bi、Ba与O原子磁矩相对较小;而半金属性则主要源于Mn 3d自旋向上与自旋向下电子间存在较大的交换劈裂所致.使晶胞承受均匀变形,当其晶格常数在-10%~14%较大范围变化时,半金属性均可得到保持,且其晶胞总磁矩可始终稳定于31μB.
Keyword :
半金属 半金属 电子结构 电子结构 晶格形变 晶格形变 层状钙钛矿 层状钙钛矿 磁性 磁性 第一性原理 第一性原理
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GB/T 7714 | 张铭 , 张持 , 王朝 et al. Ruddlesden-Popper层状钙钛矿Bi8Ba4Mn8O28的电子结构与磁性的第一性原理 [J]. | 北京工业大学学报 , 2024 , 50 (6) : 665-673 . |
MLA | 张铭 et al. "Ruddlesden-Popper层状钙钛矿Bi8Ba4Mn8O28的电子结构与磁性的第一性原理" . | 北京工业大学学报 50 . 6 (2024) : 665-673 . |
APA | 张铭 , 张持 , 王朝 , 彭铠 , 李赛楠 , 马林昊 et al. Ruddlesden-Popper层状钙钛矿Bi8Ba4Mn8O28的电子结构与磁性的第一性原理 . | 北京工业大学学报 , 2024 , 50 (6) , 665-673 . |
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Abstract :
金属-半导体-金属(MSM)型氧化镓薄膜探测器的性能高度依赖于氧化镓薄膜的均匀性,工艺难度较高,对规模化、量产化薄膜探测器提出了挑战.本文首次在量产化悬臂式薄膜芯片表面物理沉积氧化镓薄膜,实现了一个五对叉指电极结构的MSM型氧化镓薄膜日盲探测器.得益于微机电系统(MEMS)工艺制备的悬臂式电极结构保护了内部电路与探测薄膜的完整均匀性,所获得的氧化镓薄膜虽然是非晶结构,但探测器仍然具备良好的紫外探测性能.在18 V偏压下其探测率达到7.9×1010 Jones,外量子效率达到1779%,上升和下降时间分别为1.22 s和0.24 s,接近晶体氧化镓薄膜的探测性能.该探测器在无任何光学聚焦系统的情况下,实现了对户外日光环境下脉冲电弧的灵敏检测,将在日盲探测领域具有良好的潜在应用价值.本工作基于MEMS工艺的悬臂式电极结构开发的敏感功能薄膜沉积技术,避免了功能薄膜大面积均匀性对刻蚀电路的影响,为MSM型薄膜探测器的制备提供了新的技术方法和工艺路线.
Keyword :
氧化镓 氧化镓 电弧检测 电弧检测 日盲探测器 日盲探测器
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GB/T 7714 | 张裕 , 刘瑞文 , 张京阳 et al. 氧化镓悬臂式薄膜日盲探测器及其电弧检测应用 [J]. | 物理学报 , 2024 , 73 (9) : 279-286 . |
MLA | 张裕 et al. "氧化镓悬臂式薄膜日盲探测器及其电弧检测应用" . | 物理学报 73 . 9 (2024) : 279-286 . |
APA | 张裕 , 刘瑞文 , 张京阳 , 焦斌斌 , 王如志 . 氧化镓悬臂式薄膜日盲探测器及其电弧检测应用 . | 物理学报 , 2024 , 73 (9) , 279-286 . |
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Abstract :
1D gallium nitride (GaN) nanowires (NWs) can combine the intriguing properties of 1D materials with the wide bandgap nature of GaN materials. In this study, a type of high crystalline orientation wurtzite (WZ)/zinc-blende (ZB) superlattice (SL) NWs is synthesized for the first time to the knowledge, which special structure can be also demonstrated by first-principles calculation. The proposed GaN SL NWs UV PD demonstrates pronounced photoelectric performances working in a self-powered mode, including a large responsivity (23.72 mA W-1), a high specific detectivity (4.4167 x 1011 Jones), and a fast response speed (rise/decay time of 0.76/0.8 ms, significantly better than most of the gallium series NWs photodetectors reported so far). And the PD also exhibits excellent stability, enabling the photocurrent to remain largely consistent over a period of 18 months, which photoelectric current decay rate is less than 1%/year. These outstanding performance of WZ/ZB GaN SL NWs may be benefited from more stable structure and their diverse electronic channeling of GaN SL surface distributed gold quantum dots compared to that of pure WZ or ZB phase GaN. This research shows WZ/ZB GaN SL NWs' exceptional UV PD performance and new insights into their electronic structures for device applications.
Keyword :
band reconstruction band reconstruction UV detector UV detector GaN NWs GaN NWs WZ/ZB SL WZ/ZB SL ultrastable ultrastable
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GB/T 7714 | Zhang, Jingyang , Wang, Jiaxing , Fan, Jinglin et al. Ultrastable and Quick Response UV Photodetector by High Crystalline Orientation Wurtzite/Zinc-Blende GaN Superlattice [J]. | ADVANCED OPTICAL MATERIALS , 2024 . |
MLA | Zhang, Jingyang et al. "Ultrastable and Quick Response UV Photodetector by High Crystalline Orientation Wurtzite/Zinc-Blende GaN Superlattice" . | ADVANCED OPTICAL MATERIALS (2024) . |
APA | Zhang, Jingyang , Wang, Jiaxing , Fan, Jinglin , Wang, Chao , Guo, Zening , Zheng, Kun et al. Ultrastable and Quick Response UV Photodetector by High Crystalline Orientation Wurtzite/Zinc-Blende GaN Superlattice . | ADVANCED OPTICAL MATERIALS , 2024 . |
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Abstract :
Solar heating (SH) and radiative cooling (RC) are effective methods for thermal management using solar energy and cold outer space, respectively. However, effectively integrating SH and RC to meet various seasonal demands poses a challenge due to the differing radiative properties needed for the material surfaces. In this work, we propose a flexible energy-saving surface (FESS) with the coupling effect of a resonant cavity and a photonic structure, which can synergistically control both near-infrared(NIR) and long-wave infrared(LIR). The resonant cavity in FESS is driven by a metal-insulator phase transition that exhibits different emissivity at high and low temperatures to regulate RC automatically. Simultaneously, the photonic structure achieves flexible control of NIR reflectivity within the range of 0.176-0.814 through its structure, enabling the on-demand modulation of the SH. As a result, the normal building integrating the FESS can cool low to 11.61 degrees C during warm weather (35 degrees C) and up to 18.95 degrees C during cold weather (0 degrees C), reducing thermal management energy consumption by 6.4 %- 43.5 % in various climatic regions worldwide. The presented FESS may be expected to be widely applied to the external surfaces of buildings, vehicles, or other shading structures, providing assistance for cooling/heating without energy consumption.
Keyword :
Radiation cooling Radiation cooling Energy-saving materials Energy-saving materials Photonic crystal Photonic crystal Solar heating Solar heating
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GB/T 7714 | Wang, Han , Zhang, Xun , Wang, Ruzhi . Flexible energy-saving surface for all-season adaptive thermal management [J]. | ENERGY , 2024 , 313 . |
MLA | Wang, Han et al. "Flexible energy-saving surface for all-season adaptive thermal management" . | ENERGY 313 (2024) . |
APA | Wang, Han , Zhang, Xun , Wang, Ruzhi . Flexible energy-saving surface for all-season adaptive thermal management . | ENERGY , 2024 , 313 . |
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