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Rodrigues H (2026). soilFlux: Physics-Informed Neural Networks for Soil Water Retention Curves. doi:10.5281/zenodo.18990856, R package version 0.1.1, https://github.com/HugoMachadoRodrigues/soilFlux.
Norouzi A, Feyereisen G, Papanicolaou A, Wilson C (2025). “Physics-Informed Neural Networks for Estimating a Continuous Form of the Soil Water Retention Curve.” Journal of Hydrology. The paper on which the CNN1D-PINN architecture is based.
Corresponding BibTeX entries:
@Manual{,
title = {soilFlux: Physics-Informed Neural Networks for Soil Water
Retention Curves},
author = {Hugo Rodrigues},
year = {2026},
note = {R package version 0.1.1},
url = {https://github.com/HugoMachadoRodrigues/soilFlux},
doi = {10.5281/zenodo.18990856},
}
@Article{,
title = {Physics-Informed Neural Networks for Estimating a
Continuous Form of the Soil Water Retention Curve},
author = {Amir M. Norouzi and Gary W. Feyereisen and A. N.
Papanicolaou and C. G. Wilson},
journal = {Journal of Hydrology},
year = {2025},
note = {The paper on which the CNN1D-PINN architecture is based},
}
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