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)
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
Hydrogen in aluminium can cause embrittlement and critical failure. However, the behaviour of hydrogen in aluminium was not yet understood. Scientists at the Max-Planck-Institut für Eisenforschung were able to locate hydrogen inside aluminium’s microstructure and designed strategies to trap the hydrogen atoms inside the microstructure. This can…
Developing and providing accurate simulation techniques to explore and predict structural properties and chemical reactions at electrified surfaces and interfaces is critical to surmount materials-related challenges in the context of sustainability, energy conversion and storage. The groups of C. Freysoldt, M. Todorova and S. Wippermann develop…
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
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.