Drift-diffusion:

OPV light-intensity dependant JV fits with SIMsalabim (real data)
Perovskite light-intensity dependant JV fits with SIMsalabim (fake data)
Multi-objective BO: Perovskite hysteresis JV fits with SIMsalabim (fake data)
Multi-objective BO: Perovskite light-intensity dependant JV and impedance fits with SIMsalabim (fake data)
Approximate Posterior Probability Distributions
Fitting degradation JV data with Lazy Posterior analysis
OPV light-intensity dependant JV fits with SIMsalabim and Lazy posterior analysis (real data)
Notebook gallery DD fits

Transfer Matrix:

Layer stack optimization with Transfer Matrix Method (TMM)

Rate equation models:

Transient absorption spectroscopy fits with rate equation (fake data)
Multi-objective BO: Fit of transient photoluminescence (TrPL) and transient microwave conductivity (trMC) with rate equations
Fit of transient photoluminescence (TrPL) with diffusion and recombination model

Design of experiments:

Design of Experiment: Optimize perovskite solar cells efficiency
Design of Experiment: Optimize perovskite solar cells efficiency (TURBO)
Design of Experiment: perovskite thin film optimization PLQY and FWHM
Design of Experiment: perovskite thin film optimization PLQY and FWHM (pymoo)

Non-ideal diode models:

Fit non ideal diode equation to dark or light JV-curve

Notebook gallery:

All notebooks

API:

Change Log
optimpv
- optimpv package
  - Subpackages
  - Module contents

optimpv

optimpv
optimpv package
optimpv.pymooOpti package
Edit on GitHub

optimpv.pymooOpti package

Submodules

optimpv.pymooOpti.pymooOptimizer module

Module contents

Previous Next

© Copyright 2025, Vincent M. Le Corre, Larry Lüer.

Built with Sphinx using a theme provided by Read the Docs.