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Modeling ferroelectric phase transitions with graph convolutional neural networks
Article Properties
DOI (url)
10.7498/aps.73.20240156
Publication Date
2024/01/01
Journal
Acta Physica Sinica
Indian UGC (journal)
Refrences
84
Xin-Jian
Ouyang
Yan-Xing
Zhang
Zhi-Long
Wang
Feng
Zhang
Wei-Jia
Chen
Yuan
Zhuang
Xiao
Jie
Lai-Jun
Liu
Da-Wei
Wang
Abstract
Cite
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APA
Chicago
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Ouyang, Xin-Jian, et al. “Modeling Ferroelectric Phase Transitions With Graph Convolutional Neural Networks”.
Acta Physica Sinica
, vol. 73, no. 8, 2024, p. 086301, https://doi.org/10.7498/aps.73.20240156.
Ouyang, X.-J., Zhang, Y.-X., Wang, Z.-L., Zhang, F., Chen, W.-J., Zhuang, Y., Jie, X., Liu, L.-J., & Wang, D.-W. (2024). Modeling ferroelectric phase transitions with graph convolutional neural networks.
Acta Physica Sinica
,
73
(8), 086301. https://doi.org/10.7498/aps.73.20240156
Ouyang, Xin-Jian, Yan-Xing Zhang, Zhi-Long Wang, Feng Zhang, Wei-Jia Chen, Yuan Zhuang, Xiao Jie, Lai-Jun Liu, and Da-Wei Wang. “Modeling Ferroelectric Phase Transitions With Graph Convolutional Neural Networks”.
Acta Physica Sinica
73, no. 8 (2024): 086301. https://doi.org/10.7498/aps.73.20240156.
Ouyang XJ, Zhang YX, Wang ZL, Zhang F, Chen WJ, Zhuang Y, et al. Modeling ferroelectric phase transitions with graph convolutional neural networks. Acta Physica Sinica. 2024;73(8):086301.
Journal Category
Science
Physics
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Refrences
Title
Journal
Journal Categories
Citations
Publication Date
10.1103/PhysRevB.91.144107
10.1103/PhysRevB.52.6301
10.1103/PhysRevLett.73.1861
10.1103/PhysRevB.96.035143
10.1103/PhysRevLett.120.143001
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