Aydin, U.; Hickel, T.; Neugebauer, J.: Combining ab initio with data mining techniques: Solution enthalpy of hydrogen in transition metals. DPG Frühjahrstagung 2012, Berlin, Germany (2012)
Aydin, U.; Hickel, T.; Neugebauer, J.: High-Throughput Computation: The solution enthalpy of hydrogen in 3d metals derived from first principles. International workshop on Materials Discovery by Scale-Bridging High-Throughput, Bochum, Germany (2010)
Aydin, U.; Hickel, T.; Neugebauer, J.: The solution enthalpy of hydrogen derived from first principles along the series of 3d metals. Ab initio description of Iron and Steel: Mechanical Properties, 468. Wilhelm und Else Heraeus-Seminar, Ringberg, Germany (2010)
Aydin, U.; Ismer, L.; Hickel, T.; Neugebauer, J.: Chemical trends of the solution enthalpy of dilute hydrogen in 3d transition metals, derived from first principles. Summer School: Computational Materials Science, San Sebastian, Spain (2010)
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
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…