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)
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.