READ ME File For 'Investigation into Labelled-Data-free Physics-Informed Neural Networks to solve the Shallow Water Equations'

Dataset DOI: 10.5258/SOTON/D3081

ReadMe Author: Xin Qi, University of Southampton, 0000-0002-3635-7453

This dataset supports the thesis entitled 
AWARDED BY: Univeristy of Southampton
DATE OF AWARD: 2024

DESCRIPTION OF THE DATA:

This dataset contains all the raw test data used to generate the figures in Appendix B, which support the main manuscript. 
The data can be visualised using MATLAB.

The dataset contain 3 main folders, each corresponding to the data for tests 1, 2, and 3, as described in Chapter 4.
Note that 'c_xlayer_xch' refers to the PINN built from convolutional neural networks with 'x' numer of convolutional and 'x' number of channels


Date of data collection: Jan 2021 - July 2024

Information about geographic location of data collection: University of Southampton, U.K.

Licence: CC BY 4.0

Related Funders: Research Studentship from University of Southampton

Date that the file was created: August 2024