Magnetohydrodynamics with physics informed neural operators

Shawn G Rosofsky, E A Huerta

Open source

DOI
10.1088/2632-2153/ace30a
Published
2023-07-06
Container
Machine Learning: Science and Technology
Publisher
IOP Publishing
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1088/2632-2153/ace30a,
  title = {Magnetohydrodynamics with physics informed neural operators},
  author = {Shawn G Rosofsky and E A Huerta},
  year = {2023},
  journal = {Machine Learning: Science and Technology},
  doi = {10.1088/2632-2153/ace30a},
  url = {https://doi.org/10.1088/2632-2153/ace30a}
}

RIS

TY  - JOUR
TI  - Magnetohydrodynamics with physics informed neural operators
AU  - Shawn G Rosofsky
AU  - E A Huerta
PY  - 2023
JO  - Machine Learning: Science and Technology
DO  - 10.1088/2632-2153/ace30a
UR  - https://doi.org/10.1088/2632-2153/ace30a
ER  - 

APA

Rosofsky, S. G., & Huerta, E. A. (2023). Magnetohydrodynamics with physics informed neural operators. Machine Learning: Science and Technology. https://doi.org/10.1088/2632-2153/ace30a

Source records