Physics-informed neural networks with multistage augmented Lagrangian terms: Applications to coaxial bubble coalescence in two-phase flow
- DOI
- 10.1103/pbxh-p8lc
- Published
- 2025-12-04
- Container
- Physical Review E
- Publisher
- American Physical Society (APS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1103/pbxh-p8lc,
title = {Physics-informed neural networks with multistage augmented Lagrangian terms: Applications to coaxial bubble coalescence in two-phase flow},
author = {Kaidi Sun and Gui Lu and Lei Wang and Dewen Yuan and Denggao Chen and Yinchuan Zhao},
year = {2025},
journal = {Physical Review E},
doi = {10.1103/pbxh-p8lc},
url = {https://doi.org/10.1103/pbxh-p8lc}
}RIS
TY - JOUR TI - Physics-informed neural networks with multistage augmented Lagrangian terms: Applications to coaxial bubble coalescence in two-phase flow AU - Kaidi Sun AU - Gui Lu AU - Lei Wang AU - Dewen Yuan AU - Denggao Chen AU - Yinchuan Zhao PY - 2025 JO - Physical Review E DO - 10.1103/pbxh-p8lc UR - https://doi.org/10.1103/pbxh-p8lc ER -
APA
Sun, K., Lu, G., Wang, L., Yuan, D., Chen, D., & Zhao, Y. (2025). Physics-informed neural networks with multistage augmented Lagrangian terms: Applications to coaxial bubble coalescence in two-phase flow. Physical Review E. https://doi.org/10.1103/pbxh-p8lc
Source records
- crossref · retrieved 2026-09-26T04:58:03.687Z