Physics Guided Neural Networks for Spatio-temporal Super-resolution of Turbulent Flows (bibtex)

by Tianshu Bao, Shengyu Chen, Taylor T. Johnson, Peyman Givi, Shervin Sammak and Xiaowei Jia

Reference:

Tianshu Bao, Shengyu Chen, Taylor T. Johnson, Peyman Givi, Shervin Sammak and Xiaowei Jia, "Physics Guided Neural Networks for Spatio-temporal Super-resolution of Turbulent Flows", In 38th Conference on Uncertainty in Artificial Intelligence (UAI'22), Proceedings of Machine Learning Research (PMLR), pp. 118–128, 2022.

Bibtex Entry:

@inproceedings{bao2022uai,
  title = {Physics Guided Neural Networks for Spatio-temporal Super-resolution of Turbulent Flows},
  author = {Tianshu Bao and Shengyu Chen and Taylor T. Johnson and Peyman Givi and Shervin Sammak and Xiaowei Jia},
  year = {2022},
  month = aug,
  booktitle = {38th Conference on Uncertainty in Artificial Intelligence (UAI'22)},
  volume = {180},
  pages = {118--128},
  publisher = {Proceedings of Machine Learning Research (PMLR)},
  publabel = {C33},
  pubtype = {C},
  dblp = {conf/uai/BaoCJGSJ22},
  pdf = "research/bao2022uai.pdf",
}