Remmele, T.; Schulz, T.; Markurt, T.; Korytov, M.; Albrecht, M.; Duff, A.; Lymperakis, L.; Neugebauer, J.: Quantitative measurement of composition fluctuations in InGaN quantum wells. 15th European Microscopy Congress, Manchester Central, UK (2012)
Duff, A.; Lymperakis, L.; Neugebauer, J.: Ab-initio based comparitive study of In incorporation and surface segregation on III- and N-face {0001} InGaN surfaces. SINOPLE mid-term meeting, Berlin, Germany (2011)
Kalesaki, E.; Lymperakis, L.; Kioseoglou, J.; Komninou, P.; Karakostas, T.: Surface Thermodynamics of (11-22) and (11-2-2) Semipolar AlN Surfaces. International Workshop on Nitride Semiconductors, Tampa, FL, USA (2010)
von Pezold, J.; Lymperakis, L.; Neugebauer, J.: A multiscale study of the Hydrogen enhanced local plasticity (HELP) mechanism. IWoM3 2009 - International Workshop on Multiscale Materials Modeling, Berlin, Germany (2009)
Petrov, M.; Friák, M.; Lymperakis, L.; Neugebauer, J.; Raabe, D.: Hardness anisotropy of crystalline alpha-chitin: An ab-initio based conformational analysis. Spring meeting of the German Physical Society (DPG), Regensburg, Germany (2007)
Petrov, M.; Friák, M.; Lymperakis, L.; Neugebauer, J.; Raabe, D.: An ab-initio study of hardness anisotropy of crystalline alpha-chitin. International Max-Planck Workshop on Multiscale Modeling of Condensed Matter, Sant Feliu de Guixols, Spain (2007)
Lymperakis, L.; Neugebauer, J.: Exploring the 5D configurational space of grain boundaries in aluminun: An ab-initio based multiscale analysis. MRS Fall Meeting, Boston, MA, USA (2006)
Lymperakis, L.; Neugebauer, J.: Ab-initio based multiscale calculations of low-angle grain boundaries in Aluminium. Materials Research Society fall meeting, Boston, MA, USA (2005)
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
This project is a joint project of the De Magnete group and the Atom Probe Tomography group, and was initiated by MPIE’s participation in the CRC TR 270 HOMMAGE. We also benefit from additional collaborations with the “Machine-learning based data extraction from APT” project and the Defect Chemistry and Spectroscopy group.