U.S. Department of EnergyOffice of Scientific and Technical Information
pvcracks: trained VAE model
Abstract
The resulting model weights for the variational autoencoder for solar cell crack parametrization to be loaded into the python code for other to use
- Authors:
-
- Sandia National Laboratories (SNL), Carlsbad, NM (United States). Waste Isolation Pilot Plant (WIPP) Site
- Case Western Reserve Univ., Cleveland, OH (United States)
- Univ. of Colorado, Boulder, CO (United States)
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Publication Date:
- DOE Contract Number:
- AC36-08GO28308
- Research Org.:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States); Case Western Reserve Univ.; Univ. of Colorado, Boulder
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
- Subject:
- 14 SOLAR ENERGY; deep learning; electroluminescence; model weights; multisolsegment; segmentation; solar cell defects
- OSTI Identifier:
- 2997860
- DOI:
- https://doi.org/10.21948/2997860
Citation Formats
Jost, Norman, Pierce, Benjamin G., Cooper, Emma, Byford, Brandon, Braid, Jennifer L., and Sanghi, Ojas. pvcracks: trained VAE model. United States: N. p., 2025.
Web. doi:10.21948/2997860.
Jost, Norman, Pierce, Benjamin G., Cooper, Emma, Byford, Brandon, Braid, Jennifer L., & Sanghi, Ojas. pvcracks: trained VAE model. United States. doi:https://doi.org/10.21948/2997860
Jost, Norman, Pierce, Benjamin G., Cooper, Emma, Byford, Brandon, Braid, Jennifer L., and Sanghi, Ojas. 2025.
"pvcracks: trained VAE model". United States. doi:https://doi.org/10.21948/2997860. https://www.osti.gov/servlets/purl/2997860. Pub date:Wed Oct 08 00:00:00 EDT 2025
@article{osti_2997860,
title = {pvcracks: trained VAE model},
author = {Jost, Norman and Pierce, Benjamin G. and Cooper, Emma and Byford, Brandon and Braid, Jennifer L. and Sanghi, Ojas},
abstractNote = {The resulting model weights for the variational autoencoder for solar cell crack parametrization to be loaded into the python code for other to use},
doi = {10.21948/2997860},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Oct 08 00:00:00 EDT 2025},
month = {Wed Oct 08 00:00:00 EDT 2025}
}
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