Rechmann, J.; Krzywiecki, M.; Erbe, A.: Carbon-Sulfur Bond Cleavage During Adsorption of Octadecane Thiol to Copper in Ethanol. Langmuir 35 (21), pp. 6888 - 6897 (2019)
Krzywiecki, M.; Grządziel, L.; Powroźnik, P.; Kwoka, M.; Rechmann, J.; Erbe, A.: Oxide – organic heterostructures: a case study of charge displacement absence at a SnO2 – copper phthalocyanine buried interface. Physical Chemistry Chemical Physics 20 (23), pp. 16092 - 16101 (2018)
Mondragón Ochooa, J. S.; Altin, A.; Rechmann, J.; Erbe, A.: Delamination Kinetics of Thin Film Poly(acrylate) Model Coatings Prepared by Surface Initiated Atom Transfer Radical Polymerization on Iron. Journal of the Electrochemical Society 165 (16), pp. C991 - C998 (2018)
Panther, J.; Rechmann, J.; Müller, T. J. J.: Fischer indole synthesis of 3-benzyl-1H-indole via conductive and dielectric heating. Chemistry of Heterocyclic Compounds 52 (11) (2016)
Rabe, M.; Rechmann, J.; Boyle, A. L.; Erbe, A.: Designing Electro Responsive Self-Assembled Monolayers Based on the Coiled-Coil Peptide Binding Motif. 17th International Conference on Organized Molecular Films” (ICOMF17), New York, NY, USA (2018)
Rechmann, J.: Electron transfer characteristics of gold and oxide-covered copper in aqueous electrolytes modified by self-assembled monolayers. ElecNano8, the 8th international conference on Electrochemistry in Nanosciences
, Nancy, France (2018)
Rechmann, J.: Oberflächenmodifizierung von Zink (Eisen) mit Ethinylphenothiazinen und Charakterisierung. Master, Institut für Organische und Makromolekulare Chemie, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany (2014)
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances
This project will aim at addressing the specific knowledge gap of experimental data on the mechanical behavior of microscale samples at ultra-short-time scales by the development of testing platforms capable of conducting quantitative micromechanical testing under extreme strain rates upto 10000/s and beyond.
Crystal plasticity modelling has gained considerable momentum in the past 20 years [1]. Developing this field from its original mean-field homogenization approach using viscoplastic constitutive hardening rules into an advanced multi-physics continuum field solution strategy requires a long-term initiative. The group “Theory and Simulation” of…
The project focuses on development and design of workflows, which enable advanced processing and analyses of various data obtained from different field ion emission microscope techniques such as field ion microscope (FIM), atom probe tomography (APT), electronic FIM (e-FIM) and time of flight enabled FIM (tof-FIM).
Smaller is stronger” is well known in micromechanics, but the properties far from the quasi-static regime and the nominal temperatures remain unexplored. This research will bridge this gap on how materials behave under the extreme conditions of strain rate and temperature, to enhance fundamental understanding of their deformation mechanisms. The…
The development of pyiron started in 2011 in the CM department to foster the implementation, rapid prototyping and application of the highly advanced fully ab initio simulation techniques developed by the department. The pyiron platform bundles the different steps occurring in a typical simulation life cycle in a single software platform and…
This work led so far to several high impact publications: for the first time nanobeam diffraction (NBD) orientation mapping was used on atom probe tips, thereby enabling the high throughput characterization of grain boundary segregation as well as the crystallographic identification of phases.
We plan to investigate the rate-dependent tensile properties of 2D materials such as HCP metal thin films and PbMoO4 (PMO) films by using a combination of a novel plan-view FIB based sample lift out method and a MEMS based in situ tensile testing platform inside a TEM.
The prediction of materials properties with ab initio based methods is a highly successful strategy in materials science. While the working horse density functional theory (DFT) was originally designed to describe the performance of materials in the ground state, the extension of these methods to finite temperatures has seen remarkable…