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)
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
A novel design with independent tip and sample heating is developed to characterize materials at high temperatures. This design is realized by modifying a displacement controlled room temperature micro straining rig with addition of two miniature hot stages.
Many important phenomena occurring in polycrystalline materials under large plastic strain, like microstructure, deformation localization and in-grain texture evolution can be predicted by high-resolution modeling of crystals. Unfortunately, the simulation mesh gets distorted during the deformation because of the heterogeneity of the plastic…
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.
While Density Functional Theory (DFT) is in principle exact, the exchange functional remains unknown, which limits the accuracy of DFT simulation. Still, in addition to the accuracy of the exchange functional, the quality of material properties calculated with DFT is also restricted by the choice of finite bases sets.
The Atom Probe Tomography group in the Microstructure Physics and Alloy Design department is developing integrated protocols for ultra-high vacuum cryogenic specimen transfer between platforms without exposure to atmospheric contamination.
The structures of grain boundaries (GBs) have been investigated in great detail. However, much less is known about their chemical features, owing to the experimental difficulties to probe these features at the near-atomic scale inside bulk material specimens. Atom probe tomography (APT) is a tool capable of accomplishing this task, with an ability…