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2.32W anti-misaligned Er:LuAG single-longitudinal-mode laser in the double corner-cube-retroreflector resonator and MOPA system
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作者 范佳玮 鞠有伦 +7 位作者 姜辰晨 袁越 闫东 杨星帮 段小明 戴通宇 姚宝权 吴佳泽 《Chinese Optics Letters》 SCIE EI CAS CSCD 2024年第2期114-119,共6页
We demonstrate a high power,Er:Lu AG single-longitudinal-mode laser in an anti-misaligned resonator.Based on the Faraday effect,a 1.61 W single-longitudinal-mode(SLM)laser is obtained with the double corner-cube-retro... We demonstrate a high power,Er:Lu AG single-longitudinal-mode laser in an anti-misaligned resonator.Based on the Faraday effect,a 1.61 W single-longitudinal-mode(SLM)laser is obtained with the double corner-cube-retroreflector(CCR)structure,and the tunable wavelength is 1649.2-1650.3 nm.Additionally,we investigate the anti-misalignment characteristics when the CCR moves and rotates along the optical axis.Furthermore,by utilizing the Er:Lu AG amplifier,the maximum 2.32 W single-longitudinal-mode laser at 1649.6 nm is achieved.The beam quality factors M^(2) of the 2.32 W Er:Lu AG single-longitudinal-mode laser are 1.23 and 1.25 along the horizontal(x)and vertical(y)directions,respectively. 展开更多
关键词 Er:Lu AG single-longitudinal-mode laser Faraday effect MOPA system double corner-cube-retroreflector resonator
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RFCNet:Remote Sensing Image Super-Resolution Using Residual Feature Calibration Network 被引量:1
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作者 Yuan Xue Liangliang Li +5 位作者 Zheyuan Wang chenchen jiang Minqin Liu Jiawen Wang Kaipeng Sun Hongbing Ma 《Tsinghua Science and Technology》 SCIE EI CAS CSCD 2023年第3期475-485,共11页
In the field of single remote sensing image Super-Resolution(SR),deep Convolutional Neural Networks(CNNs)have achieved top performance.To further enhance convolutional module performance in processing remote sensing i... In the field of single remote sensing image Super-Resolution(SR),deep Convolutional Neural Networks(CNNs)have achieved top performance.To further enhance convolutional module performance in processing remote sensing images,we construct an efficient residual feature calibration block to generate expressive features.After harvesting residual features,we first divide them into two parts along the channel dimension.One part flows to the Self-Calibrated Convolution(SCC)to be further refined,and the other part is rescaled by the proposed Two-Path Channel Attention(TPCA)mechanism.SCC corrects local features according to their expressions under the deep receptive field,so that the features can be refined without increasing the number of calculations.The proposed TPCA uses the means and variances of feature maps to obtain accurate channel attention vectors.Moreover,a region-level nonlocal operation is introduced to capture long-distance spatial contextual information by exploring pixel dependencies at the region level.Extensive experiments demonstrate that the proposed residual feature calibration network is superior to other SR methods in terms of quantitative metrics and visual quality. 展开更多
关键词 Convolutional Neural Network(CNN) remote sensing image Super-Resolution(SR) attention mechanism
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High-temperature oxidation behavior of modified 4Al alumina-forming austenitic steel: Effect of cold rolling 被引量:9
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作者 Qiuzhi Gao Ziyun Liu +5 位作者 Huijun Li Hailian Zhang chenchen jiang Aimin Hao Fu Qu Xiaoping Lin 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2021年第9期91-102,共12页
The oxidation behavior and mechanism of as-received and 30 % cold-rolled alumina-forming austenitic(AFA) steel were investigated in dry air at 700℃.The results show that the mass gain per unit area curves of as-recei... The oxidation behavior and mechanism of as-received and 30 % cold-rolled alumina-forming austenitic(AFA) steel were investigated in dry air at 700℃.The results show that the mass gain per unit area curves of as-received and 30 % cold-rolled steels subject to near-parabolic law before 100 h oxidation time.Two samples both show higher high-temperature oxidation resistance due to the formation of dense Al_(2)O_(3) oxide scale.Gradual spallation of outer scale results in the formation of continuous and dense alumina scale.Dislocations can act as short-circuit diffusion channel for the diffusion of Al from alloy matrix to surface,and also provide nucleation sites for B2-NiAl phase,which ensure the continuous formation of Al_(2)O_(3) scale. 展开更多
关键词 Alumina-forming austenitic steel High-temperature oxidation Cold rolling Oxidation mechanism
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