Your browser doesn't support javascript.
loading
Volatile organic compounds sensing based on Bennet doubler-inspired triboelectric nanogenerator and machine learning-assisted ion mobility analysis.
Zhu, Jianxiong; Sun, Zhongda; Xu, Jikai; Walczak, Rafal D; Dziuban, Jan A; Lee, Chengkuo.
Afiliação
  • Zhu J; School of Mechanical Engineering, Southeast University, Nanjing 211189, China; Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117576, Singapore; Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117576, Singapo
  • Sun Z; Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117576, Singapore; Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117576, Singapore; NUS Suzhou Research Institute (NUSRI), Suzhou 215123, China.
  • Xu J; Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117576, Singapore; Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117576, Singapore; NUS Suzhou Research Institute (NUSRI), Suzhou 215123, China.
  • Walczak RD; Department of Mircroengineering and Photovoltaics, Wroclaw University of Science and Technology, Wroclaw 50-370, Poland.
  • Dziuban JA; Department of Mircroengineering and Photovoltaics, Wroclaw University of Science and Technology, Wroclaw 50-370, Poland.
  • Lee C; Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117576, Singapore; Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117576, Singapore; NUS Suzhou Research Institute (NUSRI), Suzhou 215123, China; Integrative Sc
Sci Bull (Beijing) ; 66(12): 1176-1185, 2021 Jun 30.
Article em En | MEDLINE | ID: mdl-36654355
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article