2 papers
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…
cond-mat.mtrl-sci2023
Comparing Methods of Characterizing Energetic Disorder in Organic Solar Cells
Paula Hartnagel, Sandheep Ravishankar, Benjamin Klingebiel +2
Energetic disorder has been known for decades to limit the performance of structurally disordered semiconductors such as amorphous silicon and organic semiconductors. However, in t…