Genchev, G.; Cox, K.; Sarfraz, A.; Bosch, C.; Spiegel, M.; Erbe, A.: Sour corrosion – Investigation of iron sulfide layer growth in saturated H2S solutions. In: Proceedings of the European Corrosion Congress EUROCORR. European Corrosion Congress EUROCORR 2014, Pisa, Italy, September 08, 2014 - September 12, 2014. (2014)
Genchev, G.; Cox, K.; Sarfraz, A.; Bosch, C.; Spiegel, M.; Erbe, A.: Sour corrosion – Investigation of anodic iron sulfide layer growth in saturated H2S saline solutions. Gordon Research Conference-Aqueous Corrosion, New London, NH, USA (2014)
Genchev, G.; Cox, K.; Sarfraz, A.; Bosch, C.; Spiegel, M.; Erbe, A.: Sour corrosion – Investigation of anodic iron sulfide layer growth in saturated H2S saline solutions. Gordon Research Seminar-Aqueous Corrosion, New London, NH, USA (2014)
Cox, K.: Elektrochemische Untersuchung von Eisen im Schwefelwasserstoff gesättigten Elektrolyten. Bachelor, Faculty of Chemistry, Niederrhein University of Applied Sciences (Hochschule Niederrhein), Krefeld, Germany (2013)
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
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…
Advanced microscopy and spectroscopy offer unique opportunities to study the structure, composition, and bonding state of individual atoms from within complex, engineering materials. Such information can be collected at a spatial resolution of as small as 0.1 nm with the help of aberration correction.
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
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…