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Zero-bias mid-infrared graphene photodetectors with bulk photoresponse and calibration-free polarization detection.
Wei, Jingxuan; Li, Ying; Wang, Lin; Liao, Wugang; Dong, Bowei; Xu, Cheng; Zhu, Chunxiang; Ang, Kah-Wee; Qiu, Cheng-Wei; Lee, Chengkuo.
Afiliação
  • Wei J; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.
  • Li Y; Center for Intelligent Sensors and MEMS, National University of Singapore, Singapore, 117608, Singapore.
  • Wang L; Interdisciplinary Center for Quantum Information, State Key Laboratory of Modern Optical Instrumentation, College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China.
  • Liao W; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.
  • Dong B; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.
  • Xu C; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.
  • Zhu C; Center for Intelligent Sensors and MEMS, National University of Singapore, Singapore, 117608, Singapore.
  • Ang KW; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.
  • Qiu CW; Center for Intelligent Sensors and MEMS, National University of Singapore, Singapore, 117608, Singapore.
  • Lee C; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.
Nat Commun ; 11(1): 6404, 2020 Dec 17.
Article em En | MEDLINE | ID: mdl-33335090
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Singapura
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Singapura