Huang, L.; Grabowski, B.; McEniry, E.; Trinkle, D. R.; Neugebauer, J.: Importance of coordination number and bond length in titanium revealed by electronic structure investigations. Physica Status Solidi B 252 (9), pp. 1907 - 1924 (2015)
Huang, L.; Cao, T.; Gong, P.; Zeng, Z.: Isotope effects on the vibrational, Invar, and Elinvar properties of pristine and hydrogenated graphene. Solid State Communications 190, pp. 5 - 9 (2014)
Lai, M.; Tasan, C. C.; Zhang, J.; Grabowski, B.; Huang, L.; Springer, H.; Raabe, D.: ω phase accommodated nano-twinning mechanism in Gum Metal: An ab initio study. 3rd International Workshop on Physics Based Material Models and Experimental Observations: Plasticity and Creep, Cesme/Izmir, Turkey (2014)
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
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.