Bleskov, I.; Hickel, T.; Neugebauer, J.: Impact of Local Magnetism on Stacking Fault Energies: A First Principles Investigation for fcc Iron. Condensed Matter - Université Paris Descartes, Paris, France (2014)
Bleskov, I.; Hickel, T.; Neugebauer, J.: Impact of Local Magnetism on Stacking Fault Energies: A First Principles Investigation for fcc Iron. TMS 2014, San Diego, CA, USA (2014)
Dey, P.; Nazarov, R.; Hickel, T.; Neugebauer, J.: Ab-initio study of hydrogen trapping by kappa-carbides in an austenitic Fe matrix. DPG Frühjahrstagung, Dresden, Germany (2014)
Dutta, B.; Hickel, T.; Neugebauer, J.: Coupling of lattice dynamics and magnetism in magnetic shape memory alloys: Consequences for phase diagrams. Asia Sweden meeting on understanding functional materials from lattice dynamics (ASMFLD) conference, Indian Institute of technology Guwahati, Guwahati, India (2014)
Freysoldt, C.; Neugebauer, J.: Point defects in supercells: Correction schemes for the dilute limit. Workshop on Ab-initio description of charged systems and solid/liquid
interfaces
, Santa Barbara, CA, USA (2014)
Freysoldt, C.; Pfanner, G.; Neugebauer, J.: Role of the defect creation strategy for modelling dangling bonds in a-Si:H. MRS Spring Meeting, San Francisco, CA, USA (2014)
Hickel, T.; Glensk, A.; Grabowski, B.; Körmann, F.; Neugebauer, J.: Thermodynamics of materials up to the melting point: The role of anharmonicities. Asia Sweden Meeting on Understanding Functional Materials from Lattice dynamics, Guwahati, India (2014)
Körmann, F.; Hickel, T.; Neugebauer, J.: Phase stabilities of metals and steels - The impact of magnetic excitations from fi rst-principles. ADIS (Ab initio Description of Iron and Steel) Conference 2014 , Ringberg Castle, Rottach-Egern, Germany (2014)
Neugebauer, J.: Interplay between Plasticity Mechanisms, Entropy, and Chemical Composition: An Ab initio approach. Plasticity 2014, Freeport, Bahamas (2014)
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.