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Daniel S. Katz
2023-07-19 12:06:19 -05:00
committed by Nicola Demo
parent cb5d637746
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@@ -65,7 +65,7 @@ abstract = {We introduce physics-informed neural networks – neural networks th
%%other PINN packages
@article{chen2020neurodiffeq,
title={Neurodiffeq: A python package for solving differential equations with neural networks},
title={Neurodiffeq: A {P}ython package for solving differential equations with neural networks},
author={Chen, Feiyu and Sondak, David and Protopapas, Pavlos and Mattheakis, Marios and Liu, Shuheng and Agarwal, Devansh and Di Giovanni, Marco},
journal={Journal of Open Source Software},
doi = {10.21105/joss.01931},
@@ -89,12 +89,14 @@ abstract = {We introduce physics-informed neural networks – neural networks th
title={TensorDiffEq: Scalable Multi-GPU Forward and Inverse Solvers for Physics Informed Neural Networks},
author={McClenny, Levi D and Haile, Mulugeta A and Braga-Neto, Ulisses M},
journal={arXiv preprint arXiv:2103.16034},
doi={10.48550/arXiv.2103.16034},
year={2021}
}
@article{peng2021idrlnet,
title={IDRLnet: A physics-informed neural network library},
author={Peng, Wei and Zhang, Jun and Zhou, Weien and Zhao, Xiaoyu and Yao, Wen and Chen, Xiaoqian},
journal={arXiv preprint arXiv:2107.04320},
doi={10.48550/arXiv.2107.04320},
year={2021}
}
@inproceedings{hennigh2021nvidia,
@@ -107,7 +109,7 @@ abstract = {We introduce physics-informed neural networks – neural networks th
organization={Springer}
}
@article{haghighat2021sciann,
title={Sciann: A keras/tensorflow wrapper for scientific computations and physics-informed deep learning using artificial neural networks},
title={Sciann: A {K}eras/{T}ensor{F}low wrapper for scientific computations and physics-informed deep learning using artificial neural networks},
author={Haghighat, Ehsan and Juanes, Ruben},
journal={Computer Methods in Applied Mechanics and Engineering},
doi = {10.1016/j.cma.2020.113552},
@@ -117,15 +119,17 @@ abstract = {We introduce physics-informed neural networks – neural networks th
publisher={Elsevier}
}
@article{koryagin2019pydens,
title={PyDEns: A python framework for solving differential equations with neural networks},
title={PyDEns: A {P}ython framework for solving differential equations with neural networks},
author={Koryagin, Alexander and Khudorozkov, Roman and Tsimfer, Sergey},
journal={arXiv preprint arXiv:1909.11544},
doi={10.48550/arXiv.1909.11544},
year={2019}
}
@article{araz2021elvet,
title={Elvet -- a neural network-based differential equation and variational problem solver},
author={Araz, Jack Y and Criado, Juan Carlos and Spannowsky, Michael},
journal={arXiv preprint arXiv:2103.14575},
doi={10.48550/arXiv.2103.14575},
year={2021}
}