"Novel physics informed-neural networks for estimation of hydraulic ..."

Mahmoud Elkhadrawi et al. (2024)

> Home

Details and statistics

DOI: 10.1007/S00521-023-09378-Z

access: closed

type: Journal Article

metadata version: 2024-03-22

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/nca/ElkhadrawiNBSSGA24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/nca/ElkhadrawiNBSSGA24
Mahmoud Elkhadrawi, Carla Ng, Daniel J. Bain, Emelia E. Sargent, Emma V. Stearsman, Kimberly A. Gray, Murat Akçakaya:
Novel physics informed-neural networks for estimation of hydraulic conductivity of green infrastructure as a performance metric by solving Richards-Richardson PDE. Neural Comput. Appl. 36(10): 5555-5569 (2024)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.