Sun, B.; Zhao, H.; Dong, X.; Teng, C.; Zhang, A.; Kong, S.; Zhou, J.; Zhang, X.; Tu, S.-T.: Current challenges in the utilization of hydrogen energy-a focused review on the issue of hydrogen-induced damage and embrittlement. Advances in Applied Energy 14, 100168 (2024)
Saksena, A.; Sun, B.; Dong, X.; Khanchandani, H.; Ponge, D.; Gault, B.: Optimizing site-specific specimen preparation for atom probe tomography by using hydrogen for visualizing radiation-induced damage. International Journal of Hydrogen Energy 50 (Part A), pp. 165 - 174 (2024)
Elkot, M.; Sun, B.; Zhou, X.; Ponge, D.; Raabe, D.: On the formation and growth of grain boundary k-carbides in austenitic high-Mn lightweight steels. Materials Research Letters 12 (1), pp. 10 - 16 (2024)
Shi, H.; Nandy, S.; Cheng, H.; Sun, B.; Ponge, D.: In-situ investigation of the interaction between hydrogen and stacking faults in a bulk austenitic steel. Acta Materialia 262, 119441 (2024)
Guo, Y.; Hu, J.; Han, Q.; Sun, B.; Wang, J.; Liu, C.: Microstructure diversity dominated by the interplay between primary intermetallics and eutectics for Al–Ce heat-resistant alloys. Journal of Alloys and Compounds 899, 162914 (2022)
Wang, X.; Liu, C.; Sun, B.; Ponge, D.; Jiang, C.; Raabe, D.: The dual role of martensitic transformation in fatigue crack growth. Proceedings of the National Academy of Sciences of the United States of America 119 (9), e2110139119 (2022)
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.