Pérez Escobar, D.; Duprez, L.; Verbeken, K.; Verhaege, M.: Study of the hydrogen traps in a high strength TRIP steel by Thermal Desorption Spectroscopy. Materials Science Forum 706-709, pp. 2253 - 2258 (2012)
Pérez Escobar, D.; Verbeken, K.; Duprez, L.; Verhaege, M.: On the methodology of Thermal Desorption Spectroscopy to evaluate hydrogen embrittlement. Materials Science Forum 706-709, pp. 2354 - 2359 (2012)
Verbeken, K.; Vervynckt, S.; Thibaux, P.; Houbaert, Y.: Empirical relationships for the impact of Nb and C content on the mechanical properties of hot rolled microalloyed steels. Materials Science Forum 706-709, pp. 37 - 42 (2012)
Vervynckt, S.; Thibaux, P.; Verbeken, K.: Effect of recrystallization controlled rolling on the microstructure and mechanical properties of hot rolled niobium microalloyed steels. Metals and Materials International 18, pp. 37 - 46 (2012)
Danzo, I.; Verbeken, K.; Houbaert, Y.: Characterization of the Intermetallic Compounds Formed during Hot Dipping of Electrical Steel in a Hypo-Eutectic Al–Si Bath. Defect and Diffusion Forum 297 - 301, pp. 370 - 375 (2010)
De Clercq, J.; Van de Steene, E.; Verbeken, K.; Verhaege, M.: Electrochemical oxidation of 1,4-dioxane at boron-doped diamond electrode. Journal of Chemical Technology & Biotechnology 88 (8), pp. 1162 - 1167 (2010)
De Muynck, W.; Verbeken, K.; De Belie, N.; Verstraete, W.: Influence of urea and calcium dosage on the effectiveness of bacterially induced carbonate precipitation on limestone. BioGeoCivil Engineering, pp. 99 - 111 (2010)
Gomes, E.; Schneider, J.; Verbeken, K.; Hermann, H.; Houbaert, Y.: Effect of hot and cold rolling on grain size and texture in Fe–Si strips with Si-content larger than 2 wt%. Materials Science Forum 638-642, pp. 3561 - 3566 (2010)
Gomes, E.; Schneider, J.; Verbeken, K.; Pasquarella, G.; Houbaert, Y.: Dimensional effects on magnetic properties of Fe–Si steels due to laser and mechanical cutting. IEEE Transactions on Magnetics 46 (2), pp. 213 - 216 (2010)
Hennebel, T.; De Corte, S.; Vanhaecke, L.; Vanherck, K.; Forrez, I.; De Gusseme, B.; Verhagen, P.; Verbeken, K.; Van der Bruggen, B.; Vankelecom, I.et al.; Boon, N.; Verstraete, W.: Removal of diatrizoate with catalytically active membranes incorporating microbially produced palladium nanoparticles. Water Research 44 (5), pp. 1498 - 1506 (2010)
Petrov, R.; Verbeken, K.; Bouquerel, J.; Verleysen, P.; Kestens, L.; Houbaert, Y.: OIM analysis of microstructure and texture of a TRIP assisted steel after static and dynamic deformation. Materials Science Forum 638-642, pp. 3447 - 3452 (2010)
Verbeken, K.; Gomes, E.; Schneider, J.; Houbaert, Y.: Correlation between the magnetic properties and the crystallographic texture during the processing of non oriented electrical steel. Solid State Phenomena 160, pp. 189 - 194 (2010)
Vervynck, S.; Verbeken, K.; Thibaux, P.; Houbaert, Y.: Characterization of the austenite recrystallization by comparing double deformation and stress relaxation tests. Steel Research International 81 (3), pp. 234 - 244 (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
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.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
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.