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)
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
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.