activity
20112026
most citedRectification properties of conically shaped nanopores: consequences of miniaturization

70 citations · 239 across the 42 of their papers we have counts for

collaborators

49 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.AP2026

p-Wasserstein distances on networks and 3D to 1D convergence

Martin Burger, Ariane Fazeny, Gilles Mordant +1

We study transport distances on metric graphs representing gas networks. Starting from the dynamic formulation of the Wasserstein distance, we review extensions to networks, with a…

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…

math.AP2025

Effective transmission through an interface with evolving microstructure

Lucas M. Fix, Gianna Götzmann, Malte A. Peter +1

We study the asymptotic behaviour of a system of nonlinear reaction--diffusion--advection equations in a domain consisting of two bulk regions connected via microscopic channels 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

Neural Network Acceleration of Iterative Methods for Nonlinear Schrödinger Eigenvalue Problems

Daniel Peterseim, Jan-F. Pietschmann, Jonas Püschel +1

We present a novel approach to accelerate iterative methods to solve nonlinear Schrödinger eigenvalue problems using neural networks. Nonlinear eigenvector problems are fundamental…