[
  {
    "title": "soilFlux: Physics-Informed Neural Networks for Soil Water Retention Curves",
    "author": [
      {
        "given": "Hugo",
        "family": "Rodrigues",
        "role": {},
        "email": "rodrigues.machado.hugo@gmail.com",
        "comment": "0000-0002-8070-8126"
      }
    ],
    "year": "2026",
    "note": "R package version 0.1.1",
    "url": "https://github.com/HugoMachadoRodrigues/soilFlux",
    "doi": "10.5281/zenodo.18990856"
  },
  {
    "title": "Physics-Informed Neural Networks for Estimating a Continuous Form of the Soil Water Retention Curve",
    "author": [
      {
        "given": "Amir M.",
        "family": "Norouzi",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "Gary W.",
        "family": "Feyereisen",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "A. N.",
        "family": "Papanicolaou",
        "role": {},
        "email": {},
        "comment": {}
      },
      {
        "given": "C. G.",
        "family": "Wilson",
        "role": {},
        "email": {},
        "comment": {}
      }
    ],
    "journal": "Journal of Hydrology",
    "year": "2025",
    "note": "The paper on which the CNN1D-PINN architecture is based"
  }
]