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Qing-long Wang

North China Electric Power University

SCHOLARLY PAPERS

3

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154

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

Mechanical Behavior and Failure Prediction of Cylindrical Lithium-Ion Batteries Under Mechanical Abuse Using Data-Driven Machine Learning

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Mechanical Behavior and Failure Prediction of Cylindrical Lithium-Ion Batteries Under Mechanical Abuse Using Data-Driven Machine Learning

Number of pages: 31 Posted: 21 Mar 2024
Xinchun Zhang, Xiao-di Yin, Zi-xuan Huang, Tao Zhang, Tie-jun Ci, Chunyan Li, Qing-long Wang and Marwan El-Rich
North China Electric Power University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, North China Electric Power University and Khalifa University
Downloads 66 (929,821)

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Lithium-ion batteries, Mechanical failure prediction, Experimental data-driven, Machine Learning, Random Forest

Mechanical Behavior and Failure Prediction of Cylindrical Lithium-Ion Batteries Under Mechanical Abuse Using Data-Driven Machine Learning

Number of pages: 30 Posted: 15 Jun 2024
Xinchun Zhang, Xiao-di Yin, Zi-xuan Huang, Tao Zhang, Tie-jun Ci, Chun-yan Li, Qing-long Wang and Marwan El-Rich
North China Electric Power University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, North China Electric Power University and Khalifa University
Downloads 35 (1,281,607)

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Lithium-ion batteries, Mechanical abuse, machine learning, Mechanical Failure

2.

Predicting Solid Solution Formation in High-Entropy Alloys: An Interpretable Machine Learning Approach Guided by Hume-Rothery Rules

Number of pages: 35 Posted: 08 Oct 2024
Zhenlin Huang, Tianhua Ju, Yan Wu, Qing-long Wang, Qiwen Lv and Yang Lv
Guangxi University, Guangxi University, Guangxi University, North China Electric Power University, Guangxi University and Guangxi University
Downloads 27 (1,359,097)

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High entropy alloys, Phase selection, Learning machine

3.

Research on Establishment of Digital Twin Framework for Intelligent Control of the Cold Rolling Strip Flatness by Data-Driven Algorithm

Number of pages: 39 Posted: 03 Jul 2024
Yufeng Zhang, XU LI, Qing-long Wang, Meiying Zhao, Yunjian Hu, Wen Peng, H.S. Di and Dianhua Zhang
Northeastern University (USA), Northeastern University (USA), North China Electric Power University, Northeastern University (USA), Shenyang Jianzhu University, Northeastern University (USA), Northeastern University (USA) and Northeastern University (USA)
Downloads 26 (1,372,601)

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tandem cold rolling, Digital twin, convolutional neural network, bidirectional gate recurrent unit, flatness multi-objective optimization.