A gradient-enhanced physics-informed neural network with adaptive loss weighting for high-dimensional non-linear sine-Gordon problems.

Deresse AT, Dufera TT

DOI: 10.1038/s41598-026-63113-x
Published: 2026 Jul 19
Container: Scientific reports
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-63113-x,
  title = {A gradient-enhanced physics-informed neural network with adaptive loss weighting for high-dimensional non-linear sine-Gordon problems.},
  author = {Deresse AT and Dufera TT},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-63113-x},
  url = {https://doi.org/10.1038/s41598-026-63113-x}
}

RIS

TY  - JOUR
TI  - A gradient-enhanced physics-informed neural network with adaptive loss weighting for high-dimensional non-linear sine-Gordon problems.
AU  - Deresse AT
AU  - Dufera TT
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-63113-x
UR  - https://doi.org/10.1038/s41598-026-63113-x
ER  -

APA

AT, D., & TT, D. (2026). A gradient-enhanced physics-informed neural network with adaptive loss weighting for high-dimensional non-linear sine-Gordon problems.. Scientific reports. https://doi.org/10.1038/s41598-026-63113-x

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pubmed · retrieved 2026-09-26T03:29:19.321Z