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Peng Ai

Guizhou University

Guizhou

China

  • Guizhou University

SCHOLARLY PAPERS

3

DOWNLOADS

134

TOTAL CITATIONS

1

Scholarly Papers (3)

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1.

Deep-Learning Approach for Developing Bilayered Electromagnetic Interference Shielding Composite Aerogels Based on Multimodal Data Fusion Neural Networks

Number of pages: 34 Posted: 14 Dec 2024
Chenglei He, Liya Yu, Yun Jiang, Lan Xie, Xiaoping Mai, Peng Ai and Bai Xue
Guizhou University, Guizhou University, Guizhou University, Guizhou University, Guizhou University, Guizhou University and Guizhou University
Downloads 53 (1,031,043)
Citation 1

Abstract:

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deep learning, Multimodal model, Double-layer structure, Electromagnetic Interference Shielding, Waterborne polyurethane composite

2.

An Interpretable Deep Learning Workflow Coupling Residual-Connected Multilayer Perceptron with Gradient Boosting Trees for Design of Electromagnetic Interference Shielding MXene-Filled Composites

Number of pages: 35 Posted: 22 Nov 2025
Zhengji Luo, Bai Xue, Lan Xie, Margulan Ibraimov, Zhenmin Cheng, Quanwei Chen, Shaohua Lin, Yue Wu, Peng Ai and Jie Kong
Guizhou University, Guizhou University, Guizhou University, Al-Farabi Kazakh National University, Guizhou University, Guizhou University, Guizhou University, Guizhou University, Guizhou University and Northwestern Polytechnical University, China
Downloads 45 (1,121,190)

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Deep Learning, Material modeling, Electromagnetic interference shielding, MXene, Feature importance.

3.

Excellent Absorption-Dominant Electromagnetic Interference Shielding Performances of Asymmetric Gradient Layered Composite Films Exploited with Assistance of Machine Learning

Number of pages: 42 Posted: 16 Jan 2025
Lingjun Zeng, Yu Zhang, Xiaoping Mai, Peng Ai, Lan Xie, Bai Xue and Qiang Zheng
Guizhou University, Guizhou University, Guizhou University, Guizhou University, Guizhou University, Guizhou University and Zhejiang University
Downloads 36 (1,236,159)

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Machine Learning, Electromagnetic interference shielding, Asymmetric gradient layered structure, Carbon nanotube@FeCo hybrid, Fire resistance