Freysoldt, C.; Pfanner, G.; Neugebauer, J.: The Dangling-Bond Defect in Amorphous Silicon: Statistical Random Versus Kinetically Driven Defect Geometries. 24th International Conference on Amorphous and Nanocrystalline Semiconductors (ICANS 24), Nara, Japan (2011)
Gutierrez-Urrutia, I.; Dick, A.; Hickel, T.; Neugebauer, J.; Raabe, D.: Understanding TWIP steel microstructures by using advanced electron microscopy and ab initio predictions. International Conference on Processing & Manufacturing of Advanced Materials THERMEC 2011, Québec City, QC, Canada (2011)
Hickel, T.; Al-Zubi, A.; Neugebauer, J.: Chemical Trends for Phase Transitions in Magnetic Shape Memory Alloys Derived from First Principles. International Conference on Ferromagnetic Shape-Memory Alloys, ICFSMA’11, Dresden, Germany (2011)
Nazarov, R.; Hickel, T.; Neugebauer, J.: H solubility in different steel phases: Influence of alloying elements and strain. HYDRAMICROS Workshop, Otaniemi, Finland (2011)
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. 9th International Conference of Nitride Semi-Conductors, Glasgow, UK (2011)
Nazarov, R.; Hickel, T.; Neugebauer, J.: Thermodynamics and kinetics of hydrogen interaction with point defects. CM-Workshop, Attendorn, Germany (2011)
Fabritius, H.; Nikolov, S.; Hild, S.; Ziegler, A.; Friák, M.; Neugebauer, J.; Raabe, D.: Design principles of crustacean cuticle: From molecules to skeletal elements. Workshop „From Nanoparticle Assembly to Functional Polymer Components” at Department of Geo- and Environmental Sciences, LMU, München, Germany (2011)
Neugebauer, J.: Ab initio guided design of materials with superior mechanical properties. Colloquium, Institut für Technologie, Karlsruhe, Germany (2011)
Elstnerová, P.; Friák, M.; Neugebauer, J.: Enhancing mechanical properties of calcite by Mg substitutions - A Quantum-Mechanical Study. Multi-Scale Mechanics of Biological and Bio-Inspired Hierarchical Materials and Surfaces, Glasgow, UK (2011)
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
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.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…