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
- 10.3390/computation14080172
- Published
- 07
- Container
- Computation
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/computation14080172,
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},
journal = {Computation},
doi = {10.3390/computation14080172},
url = {https://doi.org/10.3390/computation14080172}
}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 JO - Computation DO - 10.3390/computation14080172 UR - https://doi.org/10.3390/computation14080172 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. Computation. https://doi.org/10.3390/computation14080172
Source records
- doaj · retrieved 2026-09-25T17:15:55.717Z