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Nr.	Titel	Autor	Jahr
1	A Framework to Pinpoint Bottlenecks in Emerging Solar Cells and Disordered Devices via Differential Machine Learning	Williams, Cai et al.	2025
2	Fill Factor Losses in Organic Solar Cells The Role of Recombination, Charge Transport and Energetic Disorder	Saladina, Maria	2025
3	Improving the Thermal Stability of Inverted Organic Solar Cells by Mitigating the Undesired MoO3 Diffusion toward Cathodes with a High-Ionization Potential Interface Layer	Xi, Qian et al.	2025
4	The photoshunt in organic solar cells and how it is connected to the transport resistance	Deibel, Carsten et al.	2025
5	Transport resistance strikes back: unveiling its impact on fill factor losses in organic solar cells	Saladina, Maria et al.	2025
6	Transport resistance dominates the fill factor losses in record organic solar cells	Wang, Chen et al.	2024
7	Transport resistance strikes back: unveiling its impact on fill factor losses in organic solar cells	Saladina, Maria et al.	2024
8	Power-Law Density of States in Organic Solar Cells Revealed by the Open-Circuit Voltage Dependence of the Ideality Factor	Saladina, Maria* et al.	2023
9	Power-law density of states in organic solar cells revealed by the open-circuit voltage dependence of the ideality factor	Saladina, Maria* et al.	2022
10	Traps and transport resistance are the next frontiers for stable non-fullerene acceptor solar cells	Wöpke, Christopher et al.	2022
11	Charge Photogeneration in Non-Fullerene Organic Solar Cells: Influence of Excess Energy and Electrostatic Interactions	Saladina, Maria* et al.	2021
12	Temperature-Dependent Charge-Transfer-State Absorption and Emission Reveal the Dominant Role of Dynamic Disorder in Organic Solar Cells	Göhler, Clemens et al.	2021
13	Using Deep Machine Learning to Understand the Physical Performance Bottlenecks in Novel Thin-Film Solar Cells	Majeed, Nahdia et al.	2020
14	Using Deep Machine Learning to Understand the Physical Performance Bottlenecks in Novel Thin-Film Solar Cells	Majeed, Nahdia et al.	2019

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