Interface Physics-Informed Neural Networks (I-PINNs) to Solve Inverse Problems in Heterogeneous Materials

Dibakar Roy Sarkar, Chandrasekhar Annavarapu, Pratanu Roy

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DOI: 10.21203/rs.3.rs-7259124/v1
Published: 2025-08-12
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Publisher: Springer Science and Business Media LLC
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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-7259124/v1,
  title = {Interface Physics-Informed Neural Networks (I-PINNs) to Solve Inverse Problems in Heterogeneous Materials},
  author = {Dibakar Roy Sarkar and Chandrasekhar Annavarapu and Pratanu Roy},
  year = {2025},
  doi = {10.21203/rs.3.rs-7259124/v1},
  url = {https://doi.org/10.21203/rs.3.rs-7259124/v1}
}

RIS

TY  - JOUR
TI  - Interface Physics-Informed Neural Networks (I-PINNs) to Solve Inverse Problems in Heterogeneous Materials
AU  - Dibakar Roy Sarkar
AU  - Chandrasekhar Annavarapu
AU  - Pratanu Roy
PY  - 2025
DO  - 10.21203/rs.3.rs-7259124/v1
UR  - https://doi.org/10.21203/rs.3.rs-7259124/v1
ER  -

APA

Sarkar, D. R., Annavarapu, C., & Roy, P. (2025). Interface Physics-Informed Neural Networks (I-PINNs) to Solve Inverse Problems in Heterogeneous Materials. https://doi.org/10.21203/rs.3.rs-7259124/v1

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crossref · retrieved 2026-09-25T14:27:11.894Z