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cond-mat.mtrl-sci2026
Bayesian Parameter Estimation for Predictive Modeling of Illumination-Dependent Current-Voltage Curves
Eunchi Kim, Thomas Kirchartz
Machine learning enables rapid estimation of material parameters in solar cells via neural-network-based surrogate models. However, the reliability of extracted parameters depends…
cond-mat.mtrl-sci2025
Inferring Material Parameters from Current-Voltage Curves in Organic Solar Cells via Neural-Network-Based Surrogate Models
Eunchi Kim, Paula Hartnagel, Barbara Urbano +2
Machine learning has emerged as a promising approach for estimating material parameters in solar cells. Traditional methods for parameter extraction often rely on time-consuming nu…