activity
20072026
most citedOptical Properties of Pentacene and Perfluoropentacene Thin Films

141 citations · 315 across the 16 of their papers we have counts for

collaborators

17 papers

cond-mat.mtrl-sci2026

Phase behavior and electrical transport in DBTTF-HATCN donor-acceptor mixtures

Andreas Opitz, Hongwon Kim, Dmitry Lapkin +10

The formation of donor-acceptor complexes (DACs) between the electron donor Dibenzotetrathiafulvalene (DBTTF) and the acceptor Hexaaza\-triphenylene\-hexacarbo\-nitrile (HATCN) res…

cond-mat.mtrl-sci2026★ 3 cited

Non-monotonic roughness evolution in film growth on weakly interacting substrates

Dmitry Lapkin, Ismael S. S. Carrasco, Catherine Cruz Luukkonen +5

Thin film deposition on weakly interacting substrates exhibits a unique growth mode characterized by initially strong island formation and rapidly increasing roughness, which reach…

physics.app-ph2024

Fast and Reliable Probabilistic Reflectometry Inversion with Prior-Amortized Neural Posterior Estimation

Vladimir Starostin, Maximilian Dax, Alexander Gerlach +3

Reconstructing the structure of thin films and multilayers from measurements of scattered X-rays or neutrons is key to progress in physics, chemistry, and biology. However, finding…

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…

physics.data-an2023★ 1 cited

Closing the loop: Autonomous experiments enabled by machine-learning-based online data analysis in synchrotron beamline environments

Linus Pithan, Vladimir Starostin, David Mareček +10

Recently, there has been significant interest in applying machine learning (ML) techniques to X-ray scattering experiments, which proves to be a valuable tool for enhancing researc…