BayesProcess
A Python package for Physics informed Bayesian network inference using neural network surrogate model for matching process / variable / performance in solar cells.
https://github.com/PV-Lab/BayesProcess
Category: Renewable Energy
Sub Category: Photovoltaics and Solar Energy
Last synced: about 21 hours ago
JSON representation
Repository metadata
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 (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2021-08-18T14:30:54.000Z (over 3 years ago)
- Last Synced: 2025-04-17T20:37:05.881Z (11 days ago)
- Language: Jupyter Notebook
- Size: 78.5 MB
- Stars: 32
- Watchers: 5
- Forks: 6
- Open Issues: 2
- Releases: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
README.md
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
Owner metadata
- Name: Accelerated Materials Laboratory for Sustainability
- Login: PV-Lab
- Email:
- Kind: organization
- Description:
- Website: pv.mit.edu
- Location: United States of America
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/13911947?v=4
- Repositories: 13
- Last ynced at: 2023-03-03T18:41:38.087Z
- Profile URL: https://github.com/PV-Lab
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Last synced: 7 days ago
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| Name | Commits | |
|---|---|---|
| dannyzekunren | d****n@g****m | 10 |
| dannyzekunren | y****u@e****m | 4 |
| FELIPE OVIEDO | 4****p | 3 |
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- Redouane09 (1)
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Dependencies
- emcee ==2.2.1
- keras *
- matplotlib *
- numpy *
- scikit-learn *
- tensorflow *
Score: 4.624972813284272