Comparative Study of Physics-Informed Neural Networks (PINNs) and Optimizing a Discrete Loss (ODIL) for Forward and Inverse Problems in Unsteady Non-Linear Partial Differential Equations
- DOI
- 10.20944/preprints202606.2172.v1
- Published
- 2026-06-29
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- MDPI AG
- Open access
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BibTeX
@article{allodium:10.20944/preprints202606.2172.v1,
title = {Comparative Study of Physics-Informed Neural Networks (PINNs) and Optimizing a Discrete Loss (ODIL) for Forward and Inverse Problems in Unsteady Non-Linear Partial Differential Equations},
author = {Vasco L. Carvalho and José C. F. Pereira},
year = {2026},
doi = {10.20944/preprints202606.2172.v1},
url = {https://doi.org/10.20944/preprints202606.2172.v1}
}RIS
TY - JOUR TI - Comparative Study of Physics-Informed Neural Networks (PINNs) and Optimizing a Discrete Loss (ODIL) for Forward and Inverse Problems in Unsteady Non-Linear Partial Differential Equations AU - Vasco L. Carvalho AU - José C. F. Pereira PY - 2026 DO - 10.20944/preprints202606.2172.v1 UR - https://doi.org/10.20944/preprints202606.2172.v1 ER -
APA
Carvalho, V. L., & Pereira, J. C. F. (2026). Comparative Study of Physics-Informed Neural Networks (PINNs) and Optimizing a Discrete Loss (ODIL) for Forward and Inverse Problems in Unsteady Non-Linear Partial Differential Equations. https://doi.org/10.20944/preprints202606.2172.v1
Source records
- crossref · retrieved 2026-09-25T17:05:37.889Z