activity
20232026
most citedPreconditioning for a Cahn-Hilliard-Navier-Stokes model for morphology formation in organic solar cells

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2026

Mobility-lifetime relation links photodegradation in spin-coated and gravure-printed organic solar cells

Maria Saladina, Paul Weitz, David Holzner +24

The degradation mechanisms of organic solar cells (OSCs) have been studied primarily in spin-coated, laboratory-scale devices, whereas scalable processing modifies the device archi…

math.NA2026

Modeling and Simulation of Device Performance in Organic Photovoltaics

Pelin Çiloğlu, Carmen Tretmans, Carsten Deibel +4

We present a pipeline to study the device performance of organic solar cells in silico. We introduce a mathematical model that includes the dynamics of excitons as well as their di…

physics.app-ph2025

Visualizing the Link Between Nanomorphology and Energetic Disorder in 3D Organic Solar Cells

Pelin Çiloğlu, Carmen Tretmans, Carsten Deibel +3

The performance of organic bulk heterojunction (BHJ) solar cells is highly sensitive to both nanomorphology and energetic disorder arising from microscopic molecular packing and st…

math.NA2025★ 1 cited

Preconditioning for a Cahn-Hilliard-Navier-Stokes model for morphology formation in organic solar cells

Pelin Çiloğlu, Carmen Tretmans, Roland Herzog +2

We present a model for the morphology evolution of printed organic solar cells which occurs during the drying of a mixture of polymer, the non-fullerene acceptor and the solvent. O…

math.OC2023

Efficient training of Gaussian processes with tensor product structure

Josie König, Max Pfeffer, Martin Stoll

To determine the optimal set of hyperparameters of a Gaussian process based on a large number of training data, both a linear system and a trace estimation problem must be solved.…