Zhang, X.; Hickel, T.; Rogal, J.; Drautz, R.; Neugebauer, J.: Atomistic origin of structural modulations in Fe ultrathin film and impact for structural transformations in Fe–C alloys. ADIS Workshop 2014, Ringberg, Germany (2014)
Neugebauer, J.: Computational coarse-graining in configuration space as basis for a predictive ab initio thermodynamics. EPSRC Symposium, Warwick, London, UK (2013)
Körmann, F.; Grabowski, B.; Palumbo, M.; Fries, S. G.; Hickel, T.; Neugebauer, J.: Strong and weak magnetic coupling in chromium. ICAMS Advanced Discussions - Current Developments, Ruhr-Universität-Bochum, Bochum, Germany (2013)
Grabowski, B.; Glensk, A.; Korbmacher, D.; Huang, L.; Körmann, F.; Hickel, T.; Neugebauer, J.: First principles at finite temperatures: New approaches and massively parallel computations. CMSI International Symposium 2013: Extending the power of computational materials sciences with K-computer, Ito International Research Center, University of Tokyo, Japan (2013)
Hickel, T.; Nazarov, R.; Neugebauer, J.: Aspekte der Wasserstoffversprödung von Stählen: Verständnisgewinn durch quantenmechanische Simulationen. AKE Workshop, DECHEMA, Frankfurt a. M, Germany (2013)
Dey, P.; Nazarov, R.; Friák, M.; Hickel, T.; Neugebauer, J.: kappa-carbides as precipitates in austenitic steels: Ab initio study of structural, magnetic and Interface properties. EUROMAT 2013, Sevilla, Spain (2013)
Neugebauer, J.: Ab initio based multiscale modeling of structural materials: From a predictive thermodynamic description to tailored mechanical properties. CECAM Conference, Platja d’Aro, Spain (2013)
Dutta, B.; Körmann, F.; Dey, P.; Hickel, T.; Neugebauer, J.: Ab-initio based prediction of chemical trends for phase transitions in magnetic shape memory alloys. Weekly Seminar, Interdisciplinary Centre for Advanced Materials Simulation (ICAMS), Ruhr-Universität Bochum, Bochum, Germany (2013)
Lymperakis, L.; Weidlich, P. H.; Eisele, H.; Schnedler, M.; Nys, J.-P.; Grandidier, B.; Stievenard, D.; Dunin-Borkowski, R.; Neugebauer, J.; Ebert, P.: Revealing Hidden Surface States of Non-Polar GaN Facets by an Ab Initio Tailored STM Approach. 10th International Conference on Nitride Semiconductors, Washigton DC, USA (2013)
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…