Adam J. Hawkins, Ph. D.

Postdoctoral Fellow, Smith School of Chemical and Biomolecular Engineering, Cornell University

Predictive inverse model for advective heat transfer in a short-circuited fracture: Dimensional analysis, machine learning, and field demonstration


Journal article


A. J. Hawkins, D. B. Fox, D. L. Koch, M. W. Becker, J. W. Tester
Water Resources Research, vol. 56, 2020


Cite

Cite

APA   Click to copy
Hawkins, A. J., Fox, D. B., Koch, D. L., Becker, M. W., & Tester, J. W. (2020). Predictive inverse model for advective heat transfer in a short-circuited fracture: Dimensional analysis, machine learning, and field demonstration. Water Resources Research, 56. https://doi.org/10.1029/2020WR027065


Chicago/Turabian   Click to copy
Hawkins, A. J., D. B. Fox, D. L. Koch, M. W. Becker, and J. W. Tester. “Predictive Inverse Model for Advective Heat Transfer in a Short-Circuited Fracture: Dimensional Analysis, Machine Learning, and Field Demonstration.” Water Resources Research 56 (2020).


MLA   Click to copy
Hawkins, A. J., et al. “Predictive Inverse Model for Advective Heat Transfer in a Short-Circuited Fracture: Dimensional Analysis, Machine Learning, and Field Demonstration.” Water Resources Research, vol. 56, 2020, doi:10.1029/2020WR027065.


BibTeX   Click to copy

@article{hawkins2020a,
  title = {Predictive inverse model for advective heat transfer in a short-circuited fracture: Dimensional analysis, machine learning, and field demonstration},
  year = {2020},
  journal = {Water Resources Research},
  volume = {56},
  doi = {10.1029/2020WR027065},
  author = {Hawkins, A. J. and Fox, D. B. and Koch, D. L. and Becker, M. W. and Tester, J. W.}
}


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