Cautaerts, N.; Rauch, E. F.; Jeong, J.; Dehm, G.; Liebscher, C.: Investigation of the orientation relationship between nano-sized G-phase precipitates and austenite with scanning nano-beam electron diffraction using a pixelated detector. Scripta Materialia 201, 113930 (2021)
Jeong, J.; Jang, W.-S.; Kim, K. H.; Kostka, A.; Gu, G.; Kim, Young, Y.-M.; Oh, S. H.: Crystallographic Orientation Analysis of Nanocrystalline Tungsten Thin Film Using TEM Precession Electron Diffraction and SEM Transmission Kikuchi Diffraction. Microscopy and Microanalysis 27 (2), pp. 237 - 249 (2021)
Kiener, D.; Jeong, J.; Alfreider, M.; Konetschnik, R.; Oh, S. H.: Prospects of using small scale testing to examine different deformation mechanisms in nanoscale single crystals - A case study in Mg. Crystals 11 (1), 61 (2021)
Jeong, J.: Advanced transmission electron microscopy of nanomaterials using In-situ TEM and precession electron diffraction. Seminar, Korea Institute of Industrial Technology (KITECH), Seoul, South Korea (2019)
Jeong, J.: Advanced transmission electron microscopy of nanomaterials using In-situ TEM and precession electron diffraction. Seminar, Korea Institute of Materials Science (KIMS), Seoul, South Korea (2019)
Jeong, J.: Advanced transmission electron microscopy of nanomaterials using In-situ TEM and precession electron diffraction. Seminar, Korea Institute of Science and Technology (KIST), Seoul, South Korea (2019)
Jeong, J.; Dehm, G.; Liebscher, C.: Advances in automatic TEM based orientation mapping with precession electron diffraction. KSM Annual Fall Conference 2019, Gyeongju, South Korea (2019)
Jeong, J.; Kim, J.; Kiener, D.; Oh, S. H.: In-situ TEM observation of twin-dominated deformation of Mg single crystals. KSM Annual Fall Conference 2019, Gyeongju, South Korea (2019)
Jeong, J.; Dehm, G.; Liebscher, C.: Advances in automatic TEM based orientation mapping with precession electron diffraction. Joint Max-Planck-Institut für Eisenforschung MPIE) / Ernst Ruska-Centre (ER-C) Workshop, Düsseldorf, Germany (2019)
Jeong, J.; Dehm, G.; Liebscher, C.: Advances in automatic TEM based orientation mapping with precession electron diffraction. International Workshop on Advanced In Situ Microscopies
of Functional Nanomaterials and Devices (IAMnano 2019), Düsseldorf, Germany (2019)
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…
In this project we developed a phase-field model capable of describing multi-component and multi-sublattice ordered phases, by directly incorporating the compound energy CALPHAD formalism based on chemical potentials. We investigated the complex compositional pathway for the formation of the η-phase in Al-Zn-Mg-Cu alloys during commercial…
The project HyWay aims to promote the design of advanced materials that maintain outstanding mechanical properties while mitigating the impact of hydrogen by developing flexible, efficient tools for multiscale material modelling and characterization. These efficient material assessment suites integrate data-driven approaches, advanced…
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.
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.