Published August 8, 2022 | Version v1.0.0
Software Open

HANDS-Research-Group/HNN_Soil_Reaction_Front: Predicting Soil Reaction Front Using Hybrid Neural Network

Authors/Creators

  • 1. Syracuse University
  • 2. Penn State University

Description

This repo contains source codes, input data, and an example output for the hybrid neural network proposed in the article Wen et al. (2022), which targets improving the accuracy of a physics-based model in simulating soil reaction front using the neural network.

Files

HANDS-Research-Group/HNN_Soil_Reaction_Front-v1.0.0.zip

Files (1.6 MB)

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md5:5e83bc314b964a1184f480ebb8127012
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Additional details

Related works

Is supplement to
https://github.com/HANDS-Research-Group/HNN_Soil_Reaction_Front/tree/v1.0.0 (URL)