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23篇 您的检索式:作者名="Macomber S"
    题名 作者 年代 出处 被引量
1High efficiency, high power 808nm laser array and stacked arrays optimized for elevated temperature operation显示文摘Operation of 808-nm laser diode pumping at elevated temperature is crucial to many applications. Reliable operation at high power is limited by high thermal load and low catastrophic optical mirror damage (COMD) threshold at elevated temperature range. We demonstrated high efficiency and high power operation at elevated temperature with high COMD power. These results were achieved through device design optimization such as growth conditions, doping profile, and materials composition of the quantum-well and other layers. Electrical-to-optical efficiency as high as 62% was obtained through lowered threshold current, lowered series resistance and increased slope efficiency. The performance of single broad-area laser diodes scales to that of high power single bars on water-cooled copper micro-channel heatsinks or conductively-cooled CS heatsinks. No reduction in bar performance or significant spectral broadening is seen when these micro-channel coolers are assembled into 6-bar and 18-bar CW stacks for the highest power levels.Crump P A Crum T R DeVito M Farmer J Grimshaw M Huang Z Igl S A Macomber S Thiagarajan P Wise D 2004光机电信息2004,21,6:4
2A neural network method for efficient vegetation mapping显示文摘Carpenter G A Gopal S Macomber S 1999Remote Sensing of Environment1999,70,3:1
3Ranging and velocimetry signal generation in a backscatter-modulated laser diode显示文摘De Groot P Gallatin G Macomber S 1988Applied Optics1988,27,21:1
4Forest mapping with a generalized classifier and Landsat TM data显示文摘Pax-Lenney M Woodcock C E Macomber S A 2001Remote Sensing of Environment2001,77,3:1
5A neural network method for mixture estimation for vegetation mapping 显示文摘Carpenter G A Gopal S Macomber S 1999Remote sensing of Environment1999,70,2:1
6A neural network method for mixture estimation for vegetation mapping显示文摘Carpenter G Gopa S Macomber S 1999Remote Sens Environ1999,70,:1
7Monitoring large areas for forest change using Landsat: Generalization across space, time and Landsat sensors显示文摘Woodcock C E Macomber S A Pax-Lenney M 2001Remote Sensing of Environment2001,78,12:1
8A neural network method for efficient vegetation mapping 显示文摘 Gopal S Macomber S 1999Remote Sensing of Environment1999,70,3:1
9A neural network method for mixture estimation for vegetation mapping显示文摘 Gopal S Macomber S el al 1999Remote Sensing of Environment1999,70,2:1
10Isolation and characterization of reactive intermediates and active catalysts in Homogeneous catalysis 显示文摘GASSMAN P G MACOMBER D W WILLHONGill S M 1985J Am Chem Soc1985,107,8:1
11Surface-enhanced Raman Scattering magnified photochemical activation of the silver electrode in aqueous halide electrolytes显示文摘Macomber S H Furtak T E 1982Chem Phys Lett1982,,90:1
12A Neural Network Method for Mixture Estimation for Vegetation Mapping显示文摘Carpenter G Gopal S Macomber S 1999Remote Sensing of Environment1999,70,:1
13A neuralnetwork method for mixture estimation for vegetationmapping显示文摘Carpenter G A Sucharita G Macomber S 1999Remote Sensing of Environment1999,70,2:1
14Monitoring Large Areas for Forest Change Using Landsat: Generalization Across Space, Time and Landsat Sensors显示文摘Woodcock C E Macomber S A Pax-lenney M 2001Remote Sensing of Environment2001,78,:1
15Origins of knowledge显示文摘Spelke E S Breinlinger K Macomber J Jacobs K 0,,:1
16显示文摘Edson J B Macomber C S Pivovar B S 2012J M J Membr Sci2012,39,9400:1
17A Neural Net- work Method for Mixture Estimation for Vegetation Mapping显示文摘Carpenter G A Gopal S Macomber S 1999Remote Sensing of Environment1999,70,13:1
18Origins of knowledge 显示文摘Spelke E S Breinlinger K Macomber J 1992Psychological Review1992,99,4:1
19Monitoring large areas for forest change using Landsat: Generalization across space, time and Landsat sensors显示文摘Woodcock C E Macomber S A Pax - Lenney M 2001Remote Sensing of Environ?ment2001,78,112:1
20A neural network method for efficient vegetation mapping显示文摘Carpenter G A Gopal S Macomber S 1999Remote Sensing of Environment1999,70,3:1
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