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MultiSolSegment: Trained Model Weights

Dataset ·
DOI:https://doi.org/10.21948/2997859· OSTI ID:2997859
 [1];  [1];  [2];  [3];  [1];  [1]
  1. Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
  2. Case Western Reserve Univ., Cleveland, OH (United States)
  3. Univ. of Colorado, Boulder, CO (United States)
+ Show Author Affiliations

The resulting model weights for MultiSolSegment to be loaded into the python code for other to use.

Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States); Case Western Reserve Univ.; Univ. of Colorado, Boulder
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
DOE Contract Number:
AC36-08GO28308
OSTI ID:
2997859
Country of Publication:
United States
Language:
English

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Related Subjects

14 SOLAR ENERGY
deep learning
electroluminescence
model weights
multisolsegment
segmentation
solar cell defects