Seol, J.-B.; Lee, B.-H.; Choi, P.; Lee, S.-G.; Park, C.-G.: Combined nano-SIMS/AFM/EBSD analysis and atom probe tomography, of carbon distribution in austenite/ε-martensite high-Mn steels. Ultramicroscopy 132, pp. 248 - 257 (2013)
Kanga, J.; Seol, J. B.; Park, C.: Three-dimensional characterization of bainitic microstructures in low-carbon high-strength low-alloy steel studied by electron backscatter diffraction. Materials Characterization 79, pp. 110 - 121 (2013)
Seol, J.-B.; Raabe, D.; Choi, P.; Park, H. S.; Kwak, J. H.; Park, C. G.: Direct evidence for the formation of ordered carbides in a ferrite based low-density Fe–Mn–Al–C alloy studied by transmission electron microscopy and atom probe tomography. Scripta Materialia 68 (6), pp. 348 - 353 (2013)
Seol, J.-B.; Jung, J.E.; Chang, Y.W.; Park, C.G.: Influence of carbon content on the microstructure, martensitic transformation and mechanical properties in austenite/e-martensite dual-phase Fe–Mn–C steels. Acta Materialia 61 (2), pp. 558 - 578 (2013)
Seol, J.-B.; Raabe, D.; Choi, P.; Im, Y. R.; Park, C. G.: Atomic scale effects of alloying, partitioning, solute drag and austempering on the mechanical properties of high-carbon bainitic–austenitic TRIP steels. Acta Materialia 60, pp. 6183 - 6199 (2012)
Seol, J. B.; Ko, W.-S.; Bae, J. W.; Jo, Y. H.; Li, Z.; Choi, P.-P.; Raabe, D.; Kim, H. S.: Transition in boron boundary cohesion from effectiveness to harmfulness with respect to application temperatures: high-entropy alloys and Ni-based superalloys. 2nd International Conference on High-Entropy Materials (ICHEM 2018), Jeju, South Korea (2018)
Gutiérrez-Urrutia, I.; Seol, J.-B.; Marceau, R. K. W.; Choi, P.; Raabe, D.: Multi-scale characterization of advanced structural steels: from the micro to the atomic-scale. 8th Pacific Rim International Congress on Advanced Materials and Processing (PRICM-8), Waikoloa, Hawai, USA (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
This project will aim at developing MEMS based nanoforce sensors with capacitive sensing capabilities. The nanoforce sensors will be further incorporated with in situ SEM and TEM small scale testing systems, for allowing simultaneous visualization of the deformation process during mechanical tests
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…
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…
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…
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…