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Native Void Space for Maximum Volumetric Capacity in Silicon-Based Anodes.
Yeom, Su Jeong; Lee, Cheolmin; Kang, Sujin; Wi, Tae-Ung; Lee, Chanhee; Chae, Sujong; Cho, Jaephil; Shin, Dong Ok; Ryu, Jungki; Lee, Hyun-Wook.
Afiliação
  • Yeom SJ; Department of Energy Engineering, School of Energy and Chemical Engineering , Ulsan National Institute of Science and Technology (UNIST) , Ulsan 44919 , Republic of Korea.
  • Lee C; Department of Energy Engineering, School of Energy and Chemical Engineering , Ulsan National Institute of Science and Technology (UNIST) , Ulsan 44919 , Republic of Korea.
  • Kang S; Department of Energy Engineering, School of Energy and Chemical Engineering , Ulsan National Institute of Science and Technology (UNIST) , Ulsan 44919 , Republic of Korea.
  • Wi TU; Department of Energy Engineering, School of Energy and Chemical Engineering , Ulsan National Institute of Science and Technology (UNIST) , Ulsan 44919 , Republic of Korea.
  • Lee C; Department of Energy Engineering, School of Energy and Chemical Engineering , Ulsan National Institute of Science and Technology (UNIST) , Ulsan 44919 , Republic of Korea.
  • Chae S; Energy and Environment Directorate , Pacific Northwest National Laboratory (PNNL) , 902 Battelle Boulevard , Richland , Washington 99354 , United States.
  • Cho J; Department of Energy Engineering, School of Energy and Chemical Engineering , Ulsan National Institute of Science and Technology (UNIST) , Ulsan 44919 , Republic of Korea.
  • Shin DO; Intelligent Sensors Research Section , Electronics and Telecommunications Research Institute (ETRI) , Daejeon 34129 , Republic of Korea.
  • Ryu J; Department of Energy Engineering, School of Energy and Chemical Engineering , Ulsan National Institute of Science and Technology (UNIST) , Ulsan 44919 , Republic of Korea.
  • Lee HW; Department of Energy Engineering, School of Energy and Chemical Engineering , Ulsan National Institute of Science and Technology (UNIST) , Ulsan 44919 , Republic of Korea.
Nano Lett ; 19(12): 8793-8800, 2019 12 11.
Article em En | MEDLINE | ID: mdl-31675476

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Nano Lett Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Nano Lett Ano de publicação: 2019 Tipo de documento: Article