Visualization of Deep Convolutional Neural Networks to Investigate Porous Nanocomposites for Electromagnetic Interference Shielding.

Shi, Meng; Feng, Chang-Ping; Tu, You-Lei; Shi, Guang-Sheng; He, Pei-Yao; Zhang, Yang; Zhang, Jie; Li, Jiang; Guo, Shaoyun

Shi, Meng; Feng, Chang-Ping; Tu, You-Lei; Shi, Guang-Sheng; He, Pei-Yao; Zhang, Yang; Zhang, Jie; Li, Jiang; Guo, Shaoyun.

Afiliación

Shi M; The State Key Laboratory of Polymer Materials Engineering, Polymer Research Institute of Sichuan University, Chengdu 610065, China.
Feng CP; Shandong Engineering Research Center for Additive Manufacturing, Qingdao University of Technology, Qingdao 266520, Shandong, China.
Tu YL; The State Key Laboratory of Polymer Materials Engineering, Polymer Research Institute of Sichuan University, Chengdu 610065, China.
Shi GS; The State Key Laboratory of Polymer Materials Engineering, Polymer Research Institute of Sichuan University, Chengdu 610065, China.
He PY; The State Key Laboratory of Polymer Materials Engineering, Polymer Research Institute of Sichuan University, Chengdu 610065, China.
Zhang Y; The State Key Laboratory of Polymer Materials Engineering, Polymer Research Institute of Sichuan University, Chengdu 610065, China.
Zhang J; The State Key Laboratory of Polymer Materials Engineering, Polymer Research Institute of Sichuan University, Chengdu 610065, China.
Li J; The State Key Laboratory of Polymer Materials Engineering, Polymer Research Institute of Sichuan University, Chengdu 610065, China.
Guo S; The State Key Laboratory of Polymer Materials Engineering, Polymer Research Institute of Sichuan University, Chengdu 610065, China.

ACS Appl Mater Interfaces ; 15(18): 22602-22615, 2023 May 10.

Article en En | MEDLINE | ID: mdl-37097807

Palabras clave

EMI; convolutional neural network; deep learning; machine learning; nanocomposite; porous structure

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: ACS Appl Mater Interfaces Asunto de la revista: BIOTECNOLOGIA / ENGENHARIA BIOMEDICA Año: 2023 Tipo del documento: Article País de afiliación: China

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