Pinson, M.; Claeys, L.; Springer, H.; Bliznuk, V.; Depover, T.; Verbeken, K.: Investigation of the effect of carbon on the reversible hydrogen trapping behavior in lab-cast martensitic Fe–C steels. Materials Characterization 184, 111671 (2022)
Pinson, M.; Nikolic, K.; Springer, H.; Depover, T.; Verbeken, K.: Comparison between the hydrogen embrittlement behavior of an industrial and a lightweight bearing steel. Procedia Structural Integrity 42, pp. 471 - 479 (2022)
Springer, H.; Baron, C.; Tanure, L.; Rohwerder, M.: A combinatorial study of the effect of Al and Cr additions on the mechanical, physical and corrosion properties of Fe. Materials Today Communications 29, 102947 (2021)
Pinson, M.; Springer, H.; Depover, T.; Verbeken, K.: The effect of quench cracks and retained austenite on the hydrogen trapping capacity of high carbon martensitic steels. International Journal of Hydrogen Energy 46 (29), pp. 16141 - 16152 (2021)
Baron, C.; Werner, H.; Springer, H.: On the effect of carbon content and tempering on mechanical properties and stiffness of martensitic Fe–18.8Cr–1.8B–xC high modulus steels. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 809, 141000 (2021)
Pinson, M.; Springer, H.; Depover, T.; Verbeken, K.: Qualification of the in-situ bending technique towards the evaluation of the hydrogen induced fracture mechanism of martensitic Fe–C steels. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 792, 139754 (2020)
Baron, C.; Springer, H.: Property-Driven Development of Metallic Structural Materials by Combinatorial Techniques on the Example of Fe–C–Cr Steels. Steel Research International 90 (12), 1900404 (2019)
Springer, H.; Zhang, J.; Szczepaniak, A.; Belde, M. M.; Gault, B.; Raabe, D.: Light, strong and cost effective: Martensitic steels based on the Fe - Al - C system. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 762, 138088 (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
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…
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…
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…
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…
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…