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)
Azzam, W.; Al-Rawashdeh, N. A.F.; Al-Refaie, N.; Shekhah, O.; Bashir, A.: On the influence of the aliphatic linker on fabrication of highly ordered and orientated self-assembled monolayers of aromatic selenols on AU(111). The Journal of Physical Chemistry C 118 (9), pp. 4846 - 4859 (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
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.