6 citations · 6 across the 3 of their papers we have counts for
5 papers
Predicting Organic Solar Cell Performance and Stability from Fast, Morphology-aware Current-Voltage Modeling
Yasin Ameslon, Larry Lüer, Jens Harting +2
Understanding the relationship between morphology and performance in organic solar cells is essential for developing devices that are both high performing and resilient to aging. T…
Taxonomy of amorphous ternary phase diagrams: the importance of interaction parameters
Yasin Ameslon, Hao Liu, Jens Harting +2
Understanding phase diagrams is essential for material selection and design, as they provide a comprehensive representation of the thermodynamics of mixtures. This work delivers a…
Entropy-Isomap: Manifold Learning for High-dimensional Dynamic Processes
Frank Schoeneman, Varun Chandola, Nils Napp +2
Scientific and engineering processes deliver massive high-dimensional data sets that are generated as non-linear transformations of an initial state and few process parameters. Map…
Modeling morphology evolution during solvent-based fabrication of organic solar cells
Olga Wodo, Baskar Ganapathysubramanian
Solvent-based techniques usually involve preparing dilute blends of electron-donor and electron-acceptor materials dissolved in a volatile solvent. After some form of coating onto…
A novel graph-based formulation for characterizing morphology with application to organic solar cells
Olga Wodo, Srikanta Tirthapura, Sumit Chaudhary +1
Organic solar cells have the potential for widespread usage due to their promise of low cost, roll-to-roll manufacturability, and mechanical flexibility. However, deployment is imp…