Modeling ferroelectric phase transitions with graph convolutional neural networks

Article Properties
  • Publication Date
    2024/01/01
  • 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
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.
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