Geometry aware physics informed neural network surrogate for solving Navier–Stokes equation (GAPINN)
- DOI
- 10.1186/s40323-022-00221-z
- Published
- 2022-06-21
- Container
- Advanced Modeling and Simulation in Engineering Sciences
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s40323-022-00221-z,
title = {Geometry aware physics informed neural network surrogate for solving Navier–Stokes equation (GAPINN)},
author = {Jan Oldenburg and Finja Borowski and Alper Öner and Klaus-Peter Schmitz and Michael Stiehm},
year = {2022},
journal = {Advanced Modeling and Simulation in Engineering Sciences},
doi = {10.1186/s40323-022-00221-z},
url = {https://doi.org/10.1186/s40323-022-00221-z}
}RIS
TY - JOUR TI - Geometry aware physics informed neural network surrogate for solving Navier–Stokes equation (GAPINN) AU - Jan Oldenburg AU - Finja Borowski AU - Alper Öner AU - Klaus-Peter Schmitz AU - Michael Stiehm PY - 2022 JO - Advanced Modeling and Simulation in Engineering Sciences DO - 10.1186/s40323-022-00221-z UR - https://doi.org/10.1186/s40323-022-00221-z ER -
APA
Oldenburg, J., Borowski, F., Öner, A., Schmitz, K., & Stiehm, M. (2022). Geometry aware physics informed neural network surrogate for solving Navier–Stokes equation (GAPINN). Advanced Modeling and Simulation in Engineering Sciences. https://doi.org/10.1186/s40323-022-00221-z
Source records
- crossref · retrieved 2026-11-10T14:19:14.053Z