Physics-informed neural networks with Riccati-type pseudopotential constraints for solving nonlinear evolution equations.

Wan J, Wang H, Wang Y

DOI: 10.1063/5.0348469
Published: 2026 Sep 1
Container: Chaos (Woodbury, N.Y.)
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1063/5.0348469,
  title = {Physics-informed neural networks with Riccati-type pseudopotential constraints for solving nonlinear evolution equations.},
  author = {Wan J and Wang H and Wang Y},
  year = {2026},
  journal = {Chaos (Woodbury, N.Y.)},
  doi = {10.1063/5.0348469},
  url = {https://doi.org/10.1063/5.0348469}
}

RIS

TY  - JOUR
TI  - Physics-informed neural networks with Riccati-type pseudopotential constraints for solving nonlinear evolution equations.
AU  - Wan J
AU  - Wang H
AU  - Wang Y
PY  - 2026
JO  - Chaos (Woodbury, N.Y.)
DO  - 10.1063/5.0348469
UR  - https://doi.org/10.1063/5.0348469
ER  -

APA

J, W., H, W., & Y, W. (2026). Physics-informed neural networks with Riccati-type pseudopotential constraints for solving nonlinear evolution equations.. Chaos (Woodbury, N.Y.). https://doi.org/10.1063/5.0348469

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pubmed · retrieved 2026-09-24T22:31:07.989Z