Pinson, M.; Springer, H.; Depover, T.; Verbeken, K.: The role of cementite on the hydrogen embrittlement mechanism in martensitic medium-carbon steels. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 859, 144204 (2022)
Pinson, M.; Springer, H.; Verbeken, K.; Depover, T.: The effect of an Al-induced ferritic microfilm on the hydrogen embrittlement mechanism in martensitic steels. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 851, 143587 (2022)
Pinson, M.; Das, S. M.; Springer, H.; Verbeken, K.; Depover, T.: The Role of an Al-induced Ferritic Microfilm in Martensitic Steels on the Hydrogen Embrittlement Mechanisms Revealed by Advanced Microscopic Characterization. Microscopy and Microanalysis 28 (S1), pp. 1622 - 1624 (2022)
Pinson, M.; Das, S. M.; Springer, H.; Depover, T.; Verbeken, K.: The addition of aluminum to brittle martensitic steels in order to increase ductility by forming a grain boundary ferritic microfilm. Scripta Materialia 213, 114606 (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)
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)
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)
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