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A fast-neutron detection detector based on fission material and large sensitive 4H silicon carbide Schottky diode detector.
Liu, Linyue; Liu, Jinliang; Zhang, Jianfu; Chen, Liang; Zhang, Xianpeng; Zhang, Zhongbing; Ruan, Jinlu; Jin, Peng; Bai, Song; Ouyang, Xiaoping.
Afiliación
  • Liu L; School of Nuclear Science and Technology, Xi'an Jiaotong University, No. 28, Xianning West Road, Xi'an 710049, China.
  • Liu J; State Key Laboratory of Intense Pulsed Radiation Simulation and Effect, Northwest Institute of Nuclear Technology, Xi'an 710024, China.
  • Zhang J; State Key Laboratory of Intense Pulsed Radiation Simulation and Effect, Northwest Institute of Nuclear Technology, Xi'an 710024, China.
  • Chen L; State Key Laboratory of Intense Pulsed Radiation Simulation and Effect, Northwest Institute of Nuclear Technology, Xi'an 710024, China.
  • Zhang X; State Key Laboratory of Intense Pulsed Radiation Simulation and Effect, Northwest Institute of Nuclear Technology, Xi'an 710024, China.
  • Zhang Z; State Key Laboratory of Intense Pulsed Radiation Simulation and Effect, Northwest Institute of Nuclear Technology, Xi'an 710024, China.
  • Ruan J; School of Nuclear Science and Technology, Xi'an Jiaotong University, No. 28, Xianning West Road, Xi'an 710049, China.
  • Jin P; State Key Laboratory of Intense Pulsed Radiation Simulation and Effect, Northwest Institute of Nuclear Technology, Xi'an 710024, China.
  • Bai S; Nanjing Electronic Devices Institute, Building 03, No. 8 Xingwen Road, Nanjing 210016, China.
  • Ouyang X; School of Nuclear Science and Technology, Xi'an Jiaotong University, No. 28, Xianning West Road, Xi'an 710049, China.
Rev Sci Instrum ; 88(12): 123503, 2017 Dec.
Article en En | MEDLINE | ID: mdl-29289229
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Rev Sci Instrum Año: 2017 Tipo del documento: Article País de afiliación: China
Texto completo
Añadir a Mi BVS
Imprimir
XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Rev Sci Instrum Año: 2017 Tipo del documento: Article País de afiliación: China