Alexander New, Benjamin Eng, Andrea C. Timm, Andrew S. Gearhart. Tunable complexity benchmarks for evaluating physics-informed neural networks on coupled ordinary differential equations. In 57th Annual Conference on Information Sciences and Systems, CISS 2023, Baltimore, MD, USA, March 22-24, 2023. pages 1-8, IEEE, 2023. [doi]
@inproceedings{NewETG23,
title = {Tunable complexity benchmarks for evaluating physics-informed neural networks on coupled ordinary differential equations},
author = {Alexander New and Benjamin Eng and Andrea C. Timm and Andrew S. Gearhart},
year = {2023},
doi = {10.1109/CISS56502.2023.10089728},
url = {https://doi.org/10.1109/CISS56502.2023.10089728},
researchr = {https://researchr.org/publication/NewETG23},
cites = {0},
citedby = {0},
pages = {1-8},
booktitle = {57th Annual Conference on Information Sciences and Systems, CISS 2023, Baltimore, MD, USA, March 22-24, 2023},
publisher = {IEEE},
isbn = {978-1-6654-5181-9},
}