Your browser doesn't support javascript.
loading
Insight into molecular characteristics of a Chinese coal via separation, characterization, and data processing.
Yu, Guo; Fan, Xing; Dong, Xue-Ming; Wang, Rui-Yu; Zhao, Yun-Peng; Bai, Hong-Cun; Zhao, Tian-Sheng; Guo, Qing-Jie; Wei, Xian-Yong.
  • Yu G; Key Laboratory of Coal Processing and Efficient Utilization, Ministry of Education, China University of Mining & Technology, Xuzhou, Jiangsu, 221116, P. R. China.
  • Fan X; Key Laboratory of Coal Processing and Efficient Utilization, Ministry of Education, China University of Mining & Technology, Xuzhou, Jiangsu, 221116, P. R. China.
  • Dong XM; State Key Laboratory of High-efficiency Utilization of Coal and Green Chemical Engineering, Ningxia University, Yinchuan, Ningxia, 750021, P. R. China.
  • Wang RY; Department of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, IN, 47907, USA.
  • Zhao YP; Low Carbon Energy Institute, China University of Mining & Technology, Xuzhou, Jiangsu, 221008, P. R. China.
  • Bai HC; Key Laboratory of Coal Processing and Efficient Utilization, Ministry of Education, China University of Mining & Technology, Xuzhou, Jiangsu, 221116, P. R. China.
  • Zhao TS; State Key Laboratory of High-efficiency Utilization of Coal and Green Chemical Engineering, Ningxia University, Yinchuan, Ningxia, 750021, P. R. China.
  • Guo QJ; State Key Laboratory of High-efficiency Utilization of Coal and Green Chemical Engineering, Ningxia University, Yinchuan, Ningxia, 750021, P. R. China.
  • Wei XY; State Key Laboratory of High-efficiency Utilization of Coal and Green Chemical Engineering, Ningxia University, Yinchuan, Ningxia, 750021, P. R. China.
J Sep Sci ; 43(4): 839-846, 2020 Feb.
Article en En | MEDLINE | ID: mdl-31785184
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Article