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},
  }