A dataset of functional and defective solar cells extracted from EL images of solar modules
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Updated
Oct 13, 2024 - Python
A dataset of functional and defective solar cells extracted from EL images of solar modules
A multi-scale, python-based library for the modelling of solar cells and semiconductor materials
Credit card-sized, USB-powered 4 quadrant source-measure unit hardware and firmware
Julia package to compute trap-assisted electron and hole capture in semiconductors
Solar radiation model for flight dynamics. Based on Duffie & Beckman "Solar energy thermal processes" (1974)
Open-source, integrated optical modelling of complex stacks
Esp8266 Mini Weather Station
Photovoltaic-Model: calculates the current-voltage characteristic of a solar cell using the two-diode model, with a possibility to fit an experimental characteristic
An electromagnetic solver capable of simulating and optimizing 1D (thin-layer) structures via the semi-analytical transfer matrix method. For example, one can simulate and optimize broadband distributed Bragg reflectors, anti-reflection coatings, optical bandpass filters, and photovoltaic devices.
Shockley-Queisser limit Calculator. The Shockley-Queisser limit is the maximum photovoltaic efficiency obtained for a solar cell with respect to the absorber bandgap
Python QT batch curve fitting GUI tool for solar cell IV data files
Open-Source, Portable and Easy-to-use Solar Cell Optimizer
Single and Multi-layer Solar Cell Thickness Optimization With Genetic Algorithm (Energies 2020)
Jupyter notebook to calculate SQ limit
Jupyter notebooks outlining theory and calculations for hot polaron cooling in halide perovskite solar cells
Framework for the Simulation of Temperature Dependent Semiconductor Parameters in Silicon Solar Cells and their Respective Impact on the Current Density-Voltage Characteristic
An extensible solar cell modelling framework in python
Multi-label classification of defective solar cells with PyTorch using a pre-trained residual neural network
Code allows the use of different machine learning methods to predict efficiency of organic photovoltaics using different descriptors
Computing solar energy conversion limits using the Trap Limited Conversion (TLC) metric
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