Salgin, B.; Hamou, F. R.; Rohwerder, M.: Monitoring surface ion mobility on aluminum oxide: Effect of chemical pretreatments. Electrochimica Acta 110, pp. 526 - 533 (2013)
Hamou, F. R.; Biedermann, P. U.; Erbe, A.; Rohwerder, M.: Numerical simulation of probing the electric double layer by scanning electrochemical potential microscopy. Electrochimica Acta 55 (18), pp. 5210 - 5222 (2010)
Hamou, R. F.; Biedermann, P. U.; Erbe, A.; Rohwerder, M.: Numerical Investigation of Electrode Surface Potential Mapping with Scanning Electrochemical Potential Microscopy. The 12th International Scanning Probe Microscopy Conference, Sapporo, Japan (2010)
Bashir, A.; Muglali, M. I.; Hamou, R. F.; Rohwerder, M.: SECPM Study: Influence of the Tip Material and Its Coating on the Accuracy of Potential Profiling Across Electrical Double Layer at Solid/Liquid Interface. 217th ECS Meeting, Vancouver, Canada (2010)
Hamou, R. F.; Biedermann, P. U.; Erbe, A.; Rohwerder, M.: Numerical simulation of probing the electric double layer by scanning electrochemical Potential microscopy. 217th ECS Meeting, Vancouver, Canada (2010)
Hamou, R. F.; Biedermann, P. U.; Erbe, A.; Rohwerder, M.: Numerical simulation of probing the electric double layer by scanning electrochemical potential microscopy. International Workshops on Surface Modification for Chemical and Biochemical Sensing, Przegorzaly, Poland (2009)
Hamou, R. F.; Biedermann, P. U.; Erbe, A.; Rohwerder, M.: Screening effects in probing the double layer by scanning electrochemical potential microscopy. Comsol European Conference October 2009, Milan, Italy (2009)
Hamou, R. F.; Biedermann, P. U.; Erbe, A.; Rohwerder, M.: Simulation of probing the electric double layer by scanning electrochemical potential microscopy (SECPM). 11th International Fischer Symposium on Microscopy in Electrochemistry, Benediktbeuern, Germany (2009)
Hamou, R. F.; Biedermann, P. U.; Blumenau, A. T.: FEM Simulation of the Scanning Electrochemical Potential Microscopy (SECPM). SurMat Seminar, Schloß Gnadenthal, Kleve, Germany (2008)
Hamou, R. F.; Erbe, A.; Rohwerder, M.: Screening effects in probing the double layer by scanning electrochemical potential microscopy. Comsol European Conference October 2009, Milan, Italy (2009)
Hamou, R. F.; Biedermann, P. U.; Rohwerder, M.; Blumenau, A. T.: FEM Simulation of the Scanning Electrochemical Potential Microscopy (SECPM). 2nd IMPRS-SurMat Workshop in Surface and Interface Engineering in Advanced Materials, Ruhr-Universität Bochum, Bochum, Germany (2008)
Hamou, F. R.: Numerical Investigation of Scanning Electrochemical Potential Microscopy (SECPM). Dissertation, Fakultät für Physik und Astronomie der Ruhr-Universität, Bochum, Germany (2010)
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
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…
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In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.
The general success of large language models (LLM) raises the question if they could be applied to accelerate materials science research and to discover novel sustainable materials. Especially, interdisciplinary research fields including materials science benefit from the LLMs capability to construct a tokenized vector representation of a large…