Physics-informed hybrid neural networks with data constraints: A case study on lorenz63

Yao Xiao, Youmin Tang, Yi Li, Zheqi Shen

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DOI: 10.1016/j.neunet.2026.109698
Published: 2027-02
Container: Neural Networks
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.neunet.2026.109698,
  title = {Physics-informed hybrid neural networks with data constraints: A case study on lorenz63},
  author = {Yao Xiao and Youmin Tang and Yi Li and Zheqi Shen},
  year = {2027},
  journal = {Neural Networks},
  doi = {10.1016/j.neunet.2026.109698},
  url = {https://doi.org/10.1016/j.neunet.2026.109698}
}

RIS

TY  - JOUR
TI  - Physics-informed hybrid neural networks with data constraints: A case study on lorenz63
AU  - Yao Xiao
AU  - Youmin Tang
AU  - Yi Li
AU  - Zheqi Shen
PY  - 2027
JO  - Neural Networks
DO  - 10.1016/j.neunet.2026.109698
UR  - https://doi.org/10.1016/j.neunet.2026.109698
ER  -

APA

Xiao, Y., Tang, Y., Li, Y., & Shen, Z. (2027). Physics-informed hybrid neural networks with data constraints: A case study on lorenz63. Neural Networks. https://doi.org/10.1016/j.neunet.2026.109698

Source records

crossref · retrieved 2026-11-10T13:28:51.429Z