Can physics-informed neural networks beat the finite element method?

Grossmann TG, Komorowska UJ, Latz J, Schönlieb CB.

DOI: 10.1093/imamat/hxae011
Published: 2024-01-01
Container: IMA J Appl Math
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/imamat/hxae011,
  title = {Can physics-informed neural networks beat the finite element method?},
  author = {Grossmann TG and  Komorowska UJ and  Latz J and  Schönlieb CB.},
  year = {2024},
  journal = {IMA J Appl Math},
  doi = {10.1093/imamat/hxae011},
  url = {https://doi.org/10.1093/imamat/hxae011}
}

RIS

TY  - JOUR
TI  - Can physics-informed neural networks beat the finite element method?
AU  - Grossmann TG
AU  -  Komorowska UJ
AU  -  Latz J
AU  -  Schönlieb CB.
PY  - 2024
JO  - IMA J Appl Math
DO  - 10.1093/imamat/hxae011
UR  - https://doi.org/10.1093/imamat/hxae011
ER  -

APA

TG, G., UJ, K., J, L., & CB., S. (2024). Can physics-informed neural networks beat the finite element method?. IMA J Appl Math. https://doi.org/10.1093/imamat/hxae011

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europe-pmc · retrieved 2026-09-25T14:48:26.816Z