Lu, X.; Ma, Y.; Johnsen, R.; Wang, D.: In situ nanomechanical characterization of hydrogen effects on nickel-based alloy 725 under different metallurgical conditions. Journal of Materials Science & Technology 135, pp. 156 - 169 (2023)
Souza Filho, I. R.; Ma, Y.; Raabe, D.; Springer, H.: Fundamentals of Green Steel Production: On the Role of Gas Pressure During Hydrogen Reduction of Iron Ores. JOM-Journal of the Minerals Metals & Materials Society 75, pp. 2274 - 2286 (2023)
Zhang, S.; Li, K.; Ma, Y.; Bu, Y.; Zeng, L.; Yang, Z.; Zhang, J.: The Adsorption Mechanism of Hydrogen on FeO Crystal Surfaces: A Density Functional Theory Study. Nanomaterials 13 (14), 2051 (2023)
Zheng, H.; Daghagheleh, O.; Ma, Y.; Taferner, B.; Schenk, J.; Kapelyushin, Y.: Phase Transition of Magnetite Ore Fines During Oxidation Probed by In Situ High-Temperature X-Ray Diffraction. Metallurgical and Materials Transactions B 54, pp. 1195 - 1204 (2023)
Liang, Z.; Khanna, R.; Li, K.; Guo, F.; Ma, Y.; Zhang, H.; Bu, Y.; Bi, Z.; Zhang, J.: Impact of oxidants O2, H2O, and CO2 on graphene oxidation: A critical comparison of reaction kinetics and gasification behavior. Chemical Engineering Journal 450 (2), 138045 (2022)
Zhang, S.; Li, K.; Ma, Y.; Guo, F.; Jiang, C.; Liang, Z.; Bu, Y.; Zhang, J.: Density Functional Studies on the Atomistic Structure and Properties of Iron Oxides: A Parametric Study. Materials 15 (23), 8316 (2022)
Chen , X.; Ma, Y.; Yang , Y.; Meng , A.; Han, Z. X.; Han, Z.; Zhao, Y.: Revealing tribo–oxidation mechanisms of the copper–WC system under high tribological loading. Scripta Materialia 204, 114142 (2021)
Wan, D.; Ma, Y.; Sun, B.; Razavi, S. M. J.; Wang, D.; Lu, X.; Song, W.: Evaluation of hydrogen effect on the fatigue crack growth behavior of medium-Mn steels via in-situ hydrogen plasma charging in an environmental scanning electron microscope. Journal of Materials Science & Technology 85, pp. 30 - 43 (2021)
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…