Liu, Dong-Duan https://orcid.org/0000-0001-6036-7523
Li, Qiao https://orcid.org/0000-0002-8940-9966
Zhu, Yu-Jie
Jiang, Bingxu https://orcid.org/0009-0005-7922-4924
Zeng, Tan
Yang, Hongxiao
He, Jin-Liang https://orcid.org/0000-0002-4458-5026
Li, Qi https://orcid.org/0000-0002-8282-4884
Yuan, Chao https://orcid.org/0000-0001-9346-7256
Funding for this research was provided by:
National Natural Science Foundation of China (51921005)
Article Title: High-throughput phase field simulation and machine learning for predicting the breakdown performance of all-organic composites
Journal Title: Journal of Physics D: Applied Physics
Article Type: paper
Copyright Information: © 2024 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Publication dates
Date Received: 2024-03-22
Date Accepted: 2024-07-12
Online publication date: 2024-07-22