Dutta, B.; Hickel, T.; Neugebauer, J.: Investigation of point defects in Heusler alloys: An ab initio study. Bunsen Colloquium at Institute of Physical Chemistry, RWTH Aachen University, Aachen, Germany (2016)
Dutta, B.; Hickel, T.; Olsen, R. J.; Larson, B. C.; Stocks, M.; Samolyuk, G. D.; Neugebauer, J.: Towards a microscopic understanding of lattice vibrations in disordered systems: implications for high entropy alloys. International Workshop on Ab initio Description of Iron and Steel: Mechanical Properties (ADIS 2016), Ringberg Castle, Tegernsee, Germany (2016)
Dutta, B.; Körmann, F.; Alling, B.; Grabowski, B.; Hickel, T.; Neugebauer, J.: Interaction of magnetic and lattice degrees of freedom. International Workshop on Ab initio Description of Iron and Steel: Mechanical Properties (ADIS 2016), Ringberg Castle, Tegernsee, Germany (2016)
Zendegani, A.; Körmann, F.; Hickel, T.; Hallstedt, B.; Neugebauer, J.: Thermodynamic properties of the quaternary Q phase in Al–Cu–Mg–Si: A combined ab-initio, phonon and compound energy formalism approach. The Materials Chain: From Discovery to Production, International Conference, Bochum, Germany (2016)
Glensk, A.; Grabowski, B.; Hickel, T.; Neugebauer, J.: CALPHAD assessments using T > 0K ab initio data: From quasiharmonic to local anharmonic approximation. CALPHAD 2015, Loano, Italy (2015)
Dey, P.; Nazarov, R.; Friák, M.; Hickel, T.; Neugebauer, J.: Ab-initio based study of kappa-carbides in Fe-based alloys. Asia Sweden meeting on understanding functional materials from lattice dynamics (ASMFLD) conference, Indian Institute of technology Guwahati, Guwahati, India (2014)
Dutta, B.; Hickel, T.; Neugebauer, J.: Ab-initio based prediction of chemical trends for phase transitions in magnetic shape memory alloys. Computation meets Experiment: KKR Green functions for calculations of spectroscopic, transport and magnetic properties, Department of Physics, University of Warwick, Warwick, Coventry, UK (2013)
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