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Multiscale and Multistep Ordering of Flow-Induced Nucleation of Polymers.
Cui, Kunpeng; Ma, Zhe; Tian, Nan; Su, Fengmei; Liu, Dong; Li, Liangbin.
Afiliação
  • Cui K; National Synchrotron Radiation Laboratory, Chinese Academy of Sciences Key Laboratory of Soft Matter Chemistry, and Anhui Provincial Engineering Laboratory of Advanced Functional Polymer Film, University of Science and Technology of China , 96 Jinzhai Road, Baohe District, Hefei 230026, People's Rep
  • Ma Z; Tianjin Key Laboratory of Composite and Functional Materials, School of Materials Science and Engineering, Tianjin University , 92 Weijin Road, Nankai District, Tianjin 300072, People's Republic of China.
  • Tian N; Ministry of Education Key Laboratory of Space Applied Physics and Chemistry and Shanxi Key Laboratory of Macromolecular Science and Technology, School of Science, Northwestern Polytechnical University , 127 Youyi West Road, District Beilin, Xi'an 710072, People's Republic of China.
  • Su F; National Synchrotron Radiation Laboratory, Chinese Academy of Sciences Key Laboratory of Soft Matter Chemistry, and Anhui Provincial Engineering Laboratory of Advanced Functional Polymer Film, University of Science and Technology of China , 96 Jinzhai Road, Baohe District, Hefei 230026, People's Rep
  • Liu D; Key Laboratory of Neutron Physics and Institute of Nuclear Physics and Chemistry, China Academy of Engineering Physics , 64 Mianshan Road, Mianyang, Sichuan 621999, People's Republic of China.
  • Li L; National Synchrotron Radiation Laboratory, Chinese Academy of Sciences Key Laboratory of Soft Matter Chemistry, and Anhui Provincial Engineering Laboratory of Advanced Functional Polymer Film, University of Science and Technology of China , 96 Jinzhai Road, Baohe District, Hefei 230026, People's Rep
Chem Rev ; 118(4): 1840-1886, 2018 02 28.
Article em En | MEDLINE | ID: mdl-29350931

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article