Kim, Y.-J.; Kim, H.; Kang, M.; Rhee, K.; Shin, S. Y.; Lee, S.: Correlation of microstructure, chip-forming properties, and dynamic torsional properties in free-machining steels. Metallurgical and Materials Transactions A 44 (10), pp. 4613 - 4625 (2013)
Shin, S. Y.: Effects of microstructure on tensile, charpy impact, and crack tip opening displacement properties of two API X80 pipeline steels. Metallurgical and Materials Transactions A 44 (6), pp. 2613 - 2624 (2013)
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)
Kim, H.; Kang, M.; Shin, S. Y.; Lee, S.: Alligatoring phenomenon occurring during hot rolling of free-machining steel wire rods. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 568, pp. 8 - 19 (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
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…
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.