Azzam, W.; Subaihi, A.; Rohwerder, M.; Bashir, A.; Terfort, A.; Zharnikov, M.: Odd-even effects in aryl-substituted alkanethiolate SAMs: nonsymmetrical attachment of aryl unit and its impact on the SAM structure. Physical Chemistry Chemical Physics 26 (9), pp. 7563 - 7572 (2024)
Azzam, W.; Subaihi, A.; Rohwerder, M.; Zharnikov, M.; Bashir, A.: Polymorphism and Building-Block-Resolved STM Imaging of Self-Assembled Monolayers of 4-Fluorobenzenemethanethiol on Au(111). ChemPhysChem 23 (19), e202200347 (2022)
Azzam, W.; Zharnikov, M.; Rohwerder, M.; Bashir, A.: Functional group selective STM Imaging in self-assembled monolayers: Benzeneselenol on Au(111). Applied Surface Science 427 (Part B), pp. 581 - 586 (2018)
Azzam, W.; Bashir, A.; Ebqa'Ai, M. A.; Almalki, H.; Al-Refaie, N.: Unexpected Formation of Dense Phases along with Temperature-Induced, Self-Assembled Terphenylthiolate Monolayers on Au(111). The Journal of Physical Chemistry C 120 (31), pp. 17308 - 17322 (2016)
Tarzimoghadam, Z.; Rohwerder, M.; Merzlikin, S. V.; Bashir, A.; Yedra , L.; Eswara, S.; Ponge, D.; Raabe, D.: Multi-scale and spatially resolved hydrogen mapping in a Ni–Nb model alloy reveals the role of the δ phase in hydrogen embrittlement of alloy 718. Acta Materialia 109, pp. 69 - 81 (2016)
Dandapani, V.; Tran, T. H.; Bashir, A.; Evers, S.; Rohwerder, M.: Hydrogen Permeation as a Tool for Quantitative Characterization of Oxygen Reduction Kinetics at Buried Metal-Coating Interfaces. Electrochimica Acta 189, pp. 111 - 117 (2016)
Dandapani, V.; Altin, A.; Merola, C.; Bashir, A.; Heinen, E.; Rohwerder, M.: Probing the buried metal-organic coating interfacial reaction kinetic mechanisms by a hydrogen permeation based potentiometric approach. Journal of the Electrochemical Society 163 (13), pp. C778 - C783 (2016)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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 developing MEMS based nanoforce sensors with capacitive sensing capabilities. The nanoforce sensors will be further incorporated with in situ SEM and TEM small scale testing systems, for allowing simultaneous visualization of the deformation process during mechanical tests
The utilization of Kelvin Probe (KP) techniques for spatially resolved high sensitivity measurement of hydrogen has been a major break-through for our work on hydrogen in materials. A relatively straight forward approach was hydrogen mapping for supporting research on hydrogen embrittlement that was successfully applied on different materials, and…
It is very challenging to simulate electron-transfer reactions under potential control within high-level electronic structure theory, e. g. to study electrochemical and electrocatalytic reaction mechanisms. We develop a novel method to sample the canonical NVTΦ or NpTΦ ensemble at constant electrode potential in ab initio molecular dynamics…
Photovoltaic materials have seen rapid development in the past decades, propelling the global transition towards a sustainable and CO2-free economy. Storing the day-time energy for night-time usage has become a major challenge to integrate sizeable solar farms into the electrical grid. Developing technologies to convert solar energy directly into…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…