https://github.com/PV-Lab/BayesProcess

Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.
https://github.com/PV-Lab/BayesProcess

Last synced: about 2 months ago
JSON representation

Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.

• Host: GitHub
• URL: https://github.com/PV-Lab/BayesProcess
• Owner: PV-Lab
• License: mit
• Created: 2019-07-09T04:43:23.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2021-08-18T14:30:54.000Z (over 3 years ago)
• Last Synced: 2024-10-29T20:59:49.123Z (2 months ago)
• Language: Jupyter Notebook
• Size: 78.5 MB
• Stars: 30
• Watchers: 6
• Forks: 6
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• open-sustainable-technology - BayesProcess - A Python package for Physics informed Bayesian network inference using neural network surrogate model for matching process / variable / performance in solar cells. (Renewable Energy / Photovoltaics and Solar Energy)

README

        
## Description

BayesProcess is a python package for Physics informed Bayesian network inference using neural network surrogate model for matching process / variable / performance in solar cells.

## Installation

To install, just clone the following repository:

pip install -r requirements.txt

https://github.com/PV-Lab/BayesProcess.git

## Usage

run `surrogate_model.py` , with the given datasets to create the neural network surrogate for numerical PDE solver.

run `Bayes.py` with the saved surrogate model. This performs Bayesian network inference to map the process variable (Temperature) to material descriptors. 

The package contains the following module and scripts:

| Module | Description |

| ------------- | ------------------------------ |

| `JV_surrogate.py`      | Script for training neural network JV surrogate model      |

| `Bayes.py`      | Script for Bayesian inference using MCMC    |

| `requirements.txt`      | required packages    |

## Authors

"Danny" Zekun Ren and Felipe Oviedo