Linus Pithan
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View article: Stabilization of Ru‐Core Pt‐Shell Model Electrodes by Electronic Effects and Electrooxidation Reactions
Stabilization of Ru‐Core Pt‐Shell Model Electrodes by Electronic Effects and Electrooxidation Reactions Open
The technical application of bimetallic core‐shell particles, which are highly attractive because of their high electrocatalytic activity, depends crucially on their long‐term stability under operating conditions. In the present multi‐meth…
View article: Stabilization of Ru-Core, Pt-Shell Model Electrodes by Electronic Effects and Electrooxidation Reactions
Stabilization of Ru-Core, Pt-Shell Model Electrodes by Electronic Effects and Electrooxidation Reactions Open
The technical application of bimetallic core-shell particles, which are highly attractive because of their high electrocatalytic activity, depends crucially on their long-term stability under operating conditions. In the present multi-meth…
View article: Neural network analysis of neutron and X-ray reflectivity data incorporating prior knowledge
Neural network analysis of neutron and X-ray reflectivity data incorporating prior knowledge Open
Due to the ambiguity related 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, an underdetermined inverse problem.…
View article: Laser-induced tuning of crystallization in tetracene thin films
Laser-induced tuning of crystallization in tetracene thin films Open
Laser illumination acts a novel growth parameter for thin films, leading to larger crystallite size and molecular alignment in tetracene growth. Laser control is distinct from traditional thermal growth and paves the way for novel material…
View article: Insight into heterogeneous dynamics of growing islands using coherent x-ray scattering
Insight into heterogeneous dynamics of growing islands using coherent x-ray scattering Open
Understanding the non-equilibrium structure formation of thin films is a fundamental challenge with important implications also for technical applications. The interplay between adsorption, desorption, and surface diffusion may result in t…
View article: Closing the loop: autonomous experiments enabled by machine-learning-based online data analysis in synchrotron beamline environments
Closing the loop: autonomous experiments enabled by machine-learning-based online data analysis in synchrotron beamline environments Open
Recently, there has been significant interest in applying machine-learning (ML) techniques to the automated analysis of X-ray scattering experiments, due to the increasing speed and size at which datasets are generated. ML-based analysis p…
View article: Neural network analysis of neutron and X-ray reflectivity data: Incorporating prior knowledge for tackling the phase problem
Neural network analysis of neutron and X-ray reflectivity data: Incorporating prior knowledge for tackling the phase problem Open
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, an underdetermined inverse problem. This so-called phase pro…
View article: Closing the loop: Autonomous experiments enabled by machine-learning-based online data analysis in synchrotron beamline environments
Closing the loop: Autonomous experiments enabled by machine-learning-based online data analysis in synchrotron beamline environments Open
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 research that involves large or rapidly generated datasets. ML all…
View article: Machine learning for scattering data: strategies, perspectives and applications to surface scattering
Machine learning for scattering data: strategies, perspectives and applications to surface scattering Open
Machine learning (ML) has received enormous attention in science and beyond. Discussed here are the status, opportunities, challenges and limitations of ML as applied to X-ray and neutron scattering techniques, with an emphasis on surface …
View article: GIXD data of organic-inorganic methylammonium lead bromide perovskite (MAPbBr3), processed q-space maps
GIXD data of organic-inorganic methylammonium lead bromide perovskite (MAPbBr3), processed q-space maps Open
This dataset contains grazing incidence x-ray diffraction (GIXD) maps projected in q-space and polar projection. The underlying raw data is published in 10.5281/zenodo.6683616 and processed with 10.5281/zenodo.6683658. This data describes …
View article: GIXD data of organic-inorganic methylammonium lead bromide perovskite (MAPbBr3), processed q-space maps
GIXD data of organic-inorganic methylammonium lead bromide perovskite (MAPbBr3), processed q-space maps Open
This dataset contains grazing incidence x-ray diffraction (GIXD) maps projected in q-space and polar projection. The underlying raw data is published in 10.5281/zenodo.6683616 and processed with 10.5281/zenodo.6683658. This data describes …
View article: In-situ grazing-incidence X-ray diffraction data of the crystallization process of organic-inorganic methylammonium lead bromide perovskite (MAPbBr3) via employing an isopropanol antisolvent. Raw Data
In-situ grazing-incidence X-ray diffraction data of the crystallization process of organic-inorganic methylammonium lead bromide perovskite (MAPbBr3) via employing an isopropanol antisolvent. Raw Data Open
The dataset contains 400 diffraction images from a 40 second in-situ grazing-incidence wide-angle X-ray scattering measurement of the crystallization process of organic-inorganic methylammonium lead bromide perovskite (MAPbBr3) on a glass …
View article: Crystallization process of organic-inorganic methylammonium lead bromide perovskite (MAPbBr3), GIXD analysis results: diffraction features and crystal structure
Crystallization process of organic-inorganic methylammonium lead bromide perovskite (MAPbBr3), GIXD analysis results: diffraction features and crystal structure Open
Analysis result of an in-situ measurement of the crystallization process of organic-inorganic methylammonium lead bromide perovskite (MAPbBr3) on a glass substrate. This dataset contains the positions, sizes, and integrated intensities of …
View article: In-situ grazing-incidence X-ray diffraction data of the crystallization process of organic-inorganic methylammonium lead bromide perovskite (MAPbBr3) via employing an isopropanol antisolvent. Raw Data
In-situ grazing-incidence X-ray diffraction data of the crystallization process of organic-inorganic methylammonium lead bromide perovskite (MAPbBr3) via employing an isopropanol antisolvent. Raw Data Open
The dataset contains 400 diffraction images from a 40 second in-situ grazing-incidence wide-angle X-ray scattering measurement of the crystallization process of organic-inorganic methylammonium lead bromide perovskite (MAPbBr3) on a glass …
View article: Crystallization process of organic-inorganic methylammonium lead bromide perovskite (MAPbBr3), GIXD analysis results: diffraction features and crystal structure
Crystallization process of organic-inorganic methylammonium lead bromide perovskite (MAPbBr3), GIXD analysis results: diffraction features and crystal structure Open
Analysis result of an in-situ measurement of the crystallization process of organic-inorganic methylammonium lead bromide perovskite (MAPbBr3) on a glass substrate. This dataset contains the positions, sizes, and integrated intensities of …
View article: Reflectometry curves (XRR and NR) and corresponding fits for machine learning
Reflectometry curves (XRR and NR) and corresponding fits for machine learning Open
This is a compiled dataset of raw X-ray reflectivity (XRR, reflectometry) measurements together with corresponding fit parameters, intentionally published to use as training or test data for machine learning models. (The authors aim to inc…
View article: Reflectometry curves (XRR and NR) and corresponding fits for machine learning
Reflectometry curves (XRR and NR) and corresponding fits for machine learning Open
This is a compiled dataset of raw X-ray reflectivity (XRR, reflectometry) measurements together with corresponding fit parameters, intentionally published to use as training or test data for machine learning models. (The authors aim to inc…
View article: Thin films of electron donor–acceptor complexes: characterisation of mixed-crystalline phases and implications for electrical doping
Thin films of electron donor–acceptor complexes: characterisation of mixed-crystalline phases and implications for electrical doping Open
For electron donor–acceptor complexes a link will be established between optical, structural and vibrational properties of EDA complexes as well as the electrical doping by them.
View article: Polymorphism and structure formation in copper phthalocyanine thin films
Polymorphism and structure formation in copper phthalocyanine thin films Open
Many polymorphic crystal structures of copper phthalocyanine (CuPc) have been reported over the past few decades, but despite its manifold applicability, the structure of the frequently mentioned α polymorph remained unclear. The base-cent…
View article: Effect of the Organic Semiconductor Side Groups on the Structural and Electronic Properties of Their Interface with Dopants
Effect of the Organic Semiconductor Side Groups on the Structural and Electronic Properties of Their Interface with Dopants Open
Two derivatives of [1]benzothieno[3,2-b][1]benzothiophene (BTBT), namely, 2,7-dioctyl-BTBT (C8-BTBT) and 2,7-diphenyl-BTBT (DPh-BTBT), belonging to one of the best performing organic semiconductor (OSC) families, have been employed to inve…
View article: Beamline Experiments at ESRF with BLISS
Beamline Experiments at ESRF with BLISS Open
BLISS is the new ESRF beamline experiments sequencer. BLISS is a Python library, and a set of tools to empower scientists with the ability to write and to execute complex data acquisition sequences. Complementary with Tango, the ESRF contr…
View article: Fast fitting of reflectivity data of growing thin films using neural networks
Fast fitting of reflectivity data of growing thin films using neural networks Open
X-ray reflectivity (XRR) is a powerful and popular scattering technique that can give valuable insight into the growth behavior of thin films. This study shows how a simple artificial neural network model can be used to determine the thick…
View article: kowarik-labs/AI-reflectivity: v0.1
kowarik-labs/AI-reflectivity: v0.1 Open
AI-reflectivity is a code based on artificial neural networks trained with simulated reflectivity data that quickly predicts film parameters from experimental X-ray reflectivity curves. This project has a common root with (ML-reflectivity)…
View article: CCDC 1844642: Experimental Crystal Structure Determination
CCDC 1844642: Experimental Crystal Structure Determination Open
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available …
View article: Diffusion and nucleation in multilayer growth of PTCDI-C8 studied with <i>in situ</i> X-ray growth oscillations and real-time small angle X-ray scattering
Diffusion and nucleation in multilayer growth of PTCDI-C8 studied with <i>in situ</i> X-ray growth oscillations and real-time small angle X-ray scattering Open
We study nucleation and multilayer growth of the perylene derivative PTCDI-C8 and find a persistent layer-by-layer growth, transformation of island shapes, and an enhancement of molecular diffusivity in upper monolayers (MLs). These findin…
View article: Polymorphism in α-sexithiophene crystals: relative stability and transition path
Polymorphism in α-sexithiophene crystals: relative stability and transition path Open
We theoretically and experimentally determine the relative stability between sexithiophene crystal polymorphs, and estimate the transition barrier between them.