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
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…