Christian Moya, Guang Lin. DAE-PINN: a physics-informed neural network model for simulating differential algebraic equations with application to power networks. Neural Computing and Applications, 35(5):3789-3804, February 2023. [doi]
@article{MoyaL23,
title = {DAE-PINN: a physics-informed neural network model for simulating differential algebraic equations with application to power networks},
author = {Christian Moya and Guang Lin},
year = {2023},
month = {February},
doi = {10.1007/s00521-022-07886-y},
url = {https://doi.org/10.1007/s00521-022-07886-y},
researchr = {https://researchr.org/publication/MoyaL23},
cites = {0},
citedby = {0},
journal = {Neural Computing and Applications},
volume = {35},
number = {5},
pages = {3789-3804},
}