Udyansky, A.; von Pezold, J.; Neugebauer, J.: Multi-scale modeling of martensite formation in Fe-based solid solutions. 139th Annual Meeting of the Minerals, Metals and Materials Society (TMS), Seattle, WA, USA (2010)
von Pezold, J.; Lymperakis, L.; Neugebauer, J.: Embrittlement in metals: An atomistic study of the Hydrogen enhanced local plasticity (HELP) mechanism. 139th Annual Meeting of the Minerals, Metals and Materials Society (TMS), Seattle, WA, USA (2010)
Abbasi, A.; Dick, A.; Hickel, T.; Neugebauer, J.: First principles calculations of the stacking fault energies for Mn and Fe. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
Abu-Farsakh, H.; Neugebauer, J.: Exploring the unusual diffusion of N adatoms at GaAs(001) surface. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
Aydin, U.; Ismer, L.; Hickel, T.; Neugebauer, J.: Chemical trends for the solution enthalpy of hydrogen in 3d transition metals. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
Dick, A.; Hickel, T.; Neugebauer, J.: Stacking fault properties in high-Mn steels: An ab initio study. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
Körmann, F.; Dick, A.; Grabowski, B.; Hickel, T.; Neugebauer, J.: Ab initio determination of the magnetic free energy contribution of metallic systems. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
Lymperakis, L.; Neugebauer, J.: Ab-initio based growth simulations of III-Nitride nanowires. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
Marquardt, O.; Hickel, T.; Neugebauer, J.: Polarization-induced charge carrier separation in realistic polar and nonpolar GaN quantum dots. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
Mitra, C.; Freysoldt, C.; Neugebauer, J.: Band alignment in the framework of GW theory. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
Pfanner, G.; Freysoldt, C.; Neugebauer, J.: Ab initio investigations of the silicon dangling bond. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
Tillack, N.; Hickel, T.; Raabe, D.; Neugebauer, J.: Kinetic Monte Carlo simulations and ab initio studies of nano-precipitation in ferritic steels. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
Todorova, M.; Neugebauer, J.: Stabilization of polar ZnO surfaces. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
Udyansky, A.; von Pezold, J.; Friák, M.; Neugebauer, J.: Computational study of interstitial ordering in bcc iron. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
von Pezold, J.; Aydin, U.; Neugebauer, J.: Strain-induced metal-hydrogen interactions across the first transition series - An ab initio study of hydrogen embrittlement. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
Zhu, L.-F.; Dick, A.; Friák, M.; Hickel, T.; Neugebauer, J.: First principles study of thermodynamic, structural and elastic properties of eutectic Ti-Fe alloys. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
Grabowski, B.; Ismer, L.; Hickel, T.; Neugebauer, J.: Ab initio up to the melting point: Efficient sampling strategies of anharmonic free energies. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
Max Planck team explains dendrite propagation, paving the way for safer and longer-lasting next-generation batteries. They publish their findings in the journal Nature.
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