Chung, H.; Kim, D. W.; Cho, W. J.; Han, H. N.; Ikeda, Y.; Ishibashi, S.; Körmann, F.; Sohn, S. S.: Effect of solid-solution strengthening on deformation mechanisms and strain hardening in medium-entropy V1-xCrxCoNi alloys. Journal of Materials Science & Technology 108, pp. 270 - 280 (2022)
Yang, D.-C.; Jo, Y.-H.; Ikeda, Y.; Körmann, F.; Sohn, S. S.: Effects of cryogenic temperature on tensile and impact properties in a medium-entropy VCoNi alloy. Journal of Materials Science & Technology 90, pp. 159 - 167 (2021)
Vakili, S. M.; Zarei-Hanzaki, A.; Anoushe, A.S.; Abedi, H. R.; Mohammad-Ebrahimi, M. H.; Jaskari, M.; Sohn, S. S.; Ponge, D.; Karjalainen, L. P.: Reversible dislocation movement, martensitic transformation and nano-twinning during elastic cyclic loading of a metastable high entropy alloy. Acta Materialia 185, pp. 474 - 492 (2020)
Jo, M. C.; Choi, J. H.; Lee, H.; Zargaran, A.; Ryu, J.; Sohn, S. S.; Kim, N. J.; Lee, S.: Effects of solute segregation on tensile properties and serration behavior in ultra-high-strength high-Mn TRIP steels. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 740-741, pp. 16 - 27 (2019)
Kim, D. W.; Sohn, S. S.; Kim, W.-K.; Kim, K.-S.; Lee, S.: Study of Bauschinger effect of acicular ferrite and polygonal ferrite through ex-situ interrupted bending tests in API X80 linepipe steels. Scientific Reports 8 (1), 15598 (2018)
Jo, M. C.; Lee, H.; Zargaran, A.; Ryu, J.; Sohn, S. S.; Kim, N. J.; Lee, S.: Exceptional combination of ultra-high strength and excellent ductility by inevitably generated Mn-segregation in austenitic steel. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 737, pp. 69 - 76 (2018)
Lee, D. H.; Sohn, S. S.; Song, H.; Ro, Y.; Lee, C. S.; Lee, S.; Hwang, B.: Effects of Start and Finish Cooling Temperatures on the Yield Strength and Uniform Elongation of Strain-Based API X100 Pipeline Steels. Metallurgical and Materials Transactions A 49 (10), pp. 4536 - 4543 (2018)
Sohn, S. S.; Han, S. Y.; Shin, S. Y.; Bae, J.; Lee, S.: Effects of microstructure and pre-strain on Bauschinger effect in API X70 and X80 linepipe steels. Metals and Materials International 19 (3), pp. 423 - 431 (2013)
Sohn, S. S.; Han, S. Y.; Shin, S. Y.; Bae, J.; Lee, S.: Analysis and estimation of the yield strength of API X70 and X80 linepipe steels by double-cycle simulation tests. Metals and Materials International 19 (3), pp. 377 - 388 (2013)
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
It is very challenging to simulate electron-transfer reactions under potential control within high-level electronic structure theory, e. g. to study electrochemical and electrocatalytic reaction mechanisms. We develop a novel method to sample the canonical NVTΦ or NpTΦ ensemble at constant electrode potential in ab initio molecular dynamics…
The utilization of Kelvin Probe (KP) techniques for spatially resolved high sensitivity measurement of hydrogen has been a major break-through for our work on hydrogen in materials. A relatively straight forward approach was hydrogen mapping for supporting research on hydrogen embrittlement that was successfully applied on different materials, and…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
Photovoltaic materials have seen rapid development in the past decades, propelling the global transition towards a sustainable and CO2-free economy. Storing the day-time energy for night-time usage has become a major challenge to integrate sizeable solar farms into the electrical grid. Developing technologies to convert solar energy directly into…
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…