Petrov, M.; Lymperakis, L.; Neugebauer, J.; Stefaniuk, R.; Dluzewski, P.: Nonlinear Elastic Effects in Group III-Nitrides: From ab-initio to Finite Element Calculation. 17th International Conference on Computer Methods in Mechanics CMM-2007, Spala, Poland (2007)
Petrov, M.; Lymperakis, L.; Neugebauer, J.; Stefaniuk, R.; Dluzewski, P.: Nonlinear Elastic Effects in Group III-Nitrides: From ab-initio to Finite Element Calculation. 17th International Conference on Computer Methods in Mechanics CMM-2007, Spala, Poland (2007)
Petrov, M.; Lymperakis, L.; Neugebauer, J.: Nonlinear Elastic Effects in Group III-Nitrides. Spring meeting of the German Physical Society (DPG), Regensburg, Germany (2007)
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)
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
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
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.
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…