Solving convective-diffusion mass transport problem for channel electrode
This is a code repository in company with "The Application of Physics-Informed Neural Networks to Hydrodynamic Voltammetry" submitted to Analyst
Python 3.7 and above is suggested to run the program. The neural networks was developed and tested with Tensorflow 2.3. To install required packages, run
$ pip install -r requirement.txt
This repository has four folders for the four cases illustrated in the paper. They are:
- PINN-2D Channel 4 micron: Simulation of channel electrode assuming electrode length of 4 micron to predict steady state current
- PINN-2D Channel 11 micron: Simulation of channel electrode assuming electrode length of 11 micron to predict steady state current
- PINN-2D Double Channel: Simulation of double channel electrode to obtain collection efficiency
- PINN-2D CE channel: Simulation of channel electrode with CE reaction to obtain kinetic current
Please report any issues/bugs of the code in the discussion forum of the repository or contact the corresponding author of the paper
To cite, please refer to Analyst, 2022,147, 1881-1891