Duff, A.; Lymperakis, L.; Neugebauer, J.: Limits of Indium Incorporation on In1-xGaxN {0001} III- and N-Polar Surfaces: An Ab Initio Approach. 10th International Conference on Nitride Semiconductors, Washigton DC, USA (2013)
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)
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
The computational materials design department in collaboration with the Technical University Darmstadt and the Ruhr University Bochum developed a workflow to calculate phase diagrams from ab-initio. This achievement is based on the expertise in the ab-initio thermodynamics in combination with the recent advancements in machine-learned interatomic…