activity
20042024
most citedOptical Properties of Pentacene and Perfluoropentacene Thin Films

141 citations · 1.2k across the 38 of their papers we have counts for

collaborators

39 papers

cond-mat.soft2024★ 11 cited

An alternative approach to the osmotic second virial coefficient of protein solutions and its application to liquid liquid phase separation

Furio Surfaro, Ralph Maier, Kai-Florian Pastryk +3

The osmotic second virial coefficient B2 is an important parameter to describe the interactions and phase behavior of protein solutions, including colloidal systems and macromolecu…

physics.app-ph2024

Elucidating Structure Formation in Highly Oriented Triple Cation Perovskite Films

Oscar Telschow, Niels Scheffczyk, Alexander Hinderhofer +8

Metal halide perovskites are an emerging class of crystalline semiconductors of great interest for application in optoelectronics. Their properties are dictated not only by their c…

eess.SP2023

Neural network analysis of neutron and X-ray reflectivity data: Incorporating prior knowledge for tackling the phase problem

Valentin Munteanu, Vladimir Starostin, Alessandro Greco +5

Due to the lack of phase information, determining the physical parameters of multilayer thin films from measured neutron and X-ray reflectivity curves is, on a fundamental level, a…

cond-mat.soft2023★ 1 cited

Transiently delocalized states enhance hole mobility in organic molecular semiconductors

Samuele Giannini, Lucia Di Virgilio, Marco Bardini +13

There is compelling evidence that charge carriers in organic semiconductors (OSs) self-localize in nano-scale space because of dynamic disorder. Yet, some OSs, in particular recent…

physics.data-an2022

Neural network analysis of neutron and X-ray reflectivity data: automated analysis using mlreflect, experimental errors and feature engineering

Alessandro Greco, Vladimir Starostin, Evelyn Edel +8

This work demonstrates the Python package mlreflect which implements an optimized pipeline for the automized analysis of reflectometry data using machine learning. The package comb…

cs.CV2022★ 26 cited

Tracking perovskite crystallization via deep learning-based feature detection on 2D X-ray scattering data

Vladimir Starostin, Valentin Munteanu, Alessandro Greco +6

Understanding the processes of perovskite crystallization is essential for improving the properties of organic solar cells. In situ real-time grazing-incidence X-ray diffraction (G…