Study on predictive models for deformation control in continuous processing of flexible materials based on physics-informed neural networks

jiacheng ren, Xiaoli Yue, Dapeng Yang, Liang Chen, Huimin Chen

Open source

DOI
10.21203/rs.3.rs-8241265/v1
Published
2026-02-19
Container
Not recorded
Publisher
Springer Science and Business Media LLC
Open access
unknown

Credibility signals

uncertain Score 60/100 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:10.21203/rs.3.rs-8241265/v1,
  title = {Study on predictive models for deformation control in continuous processing of flexible materials based on physics-informed neural networks},
  author = {jiacheng ren and Xiaoli Yue and Dapeng Yang and Liang Chen and Huimin Chen},
  year = {2026},
  doi = {10.21203/rs.3.rs-8241265/v1},
  url = {https://doi.org/10.21203/rs.3.rs-8241265/v1}
}

RIS

TY  - JOUR
TI  - Study on predictive models for deformation control in continuous processing of flexible materials based on physics-informed neural networks
AU  - jiacheng ren
AU  - Xiaoli Yue
AU  - Dapeng Yang
AU  - Liang Chen
AU  - Huimin Chen
PY  - 2026
DO  - 10.21203/rs.3.rs-8241265/v1
UR  - https://doi.org/10.21203/rs.3.rs-8241265/v1
ER  - 

APA

ren, J., Yue, X., Yang, D., Chen, L., & Chen, H. (2026). Study on predictive models for deformation control in continuous processing of flexible materials based on physics-informed neural networks. https://doi.org/10.21203/rs.3.rs-8241265/v1

Source records