Neugebauer, J.: Ab initio Multiscale Simulations of Thermodynamic Properties up to the Melting Point. Gordon Research Conference High Temperature Materials, Processes & Diagnostics, Waterville, USA (2010)
Glensk, A.; Grabowski, B.; Hickel, T.; Neugebauer, J.: Ab initio prediction of thermodynamic data for selected phases of the Al-Mg-Si-Cu system. CECAM Summer School on Computational Materials Sciences, San Sebastian, Spain (2010)
Hickel, T.; Dick, A.; Körmann, F.; Neugebauer, J.: Ab initio Bestimmung thermodynamischer Eigenschaften des Legierungssystems Fe-Mn-C. Sitzung FA Computersimulation der DGM, Aachen, Germany (2010)
Marquardt, O.; Gambaryan, K. M.; Aroutiounian, V. M.; Hickel, T.; Neugebauer, J.: Growth process, characterization and optoelectronic properties of InAsSbP dot-pit cooperative nanostructures. VCIAN 2010, Santorini, Greece (2010)
Udyansky, A.; von Pezold, J.; Dick, A.; Neugebauer, J.: Atomistic study of martensite stability in dilute Fe-based solid solutions. PTM 2010 (Solid-Solid Phase Transformations in Inorganic Materials), Avignon, France (2010)
Freysoldt, C.; Neugebauer, J.; Van de Walle, C. G.: Charged defects in the supercell approach. Seminar at Duisburg University, Duisburg, Germany (2010)
Freysoldt, C.; Neugebauer, J.; Van de Walle, C. G.: Charged defects in the supercell approach. Seminar at Fritz-Haber-Institut der MPG, Berlin, Germany (2010)
Neugebauer, J.: Utilizing solid-solid phase transitions in the design of novel steels: An ab initio approach. PTM2010 Solid-Solid Phase Transformations in Inorganic Materials, Avignon, France (2010)
Grabowski, B.; Ismer, L.; Hickel, T.; Neugebauer, J.: Ab initio concepts for an efficient and accurate determination of thermodynamic properties up to the melting point. Calphad XXXIX, Jeju Island, South Korea (2010)
Körmann, F.; Dick, A.; Hickel, T.; Neugebauer, J.: First principles concepts to determine the heat capacity of Fe-based alloys. Calphad XXXIX, Jeju Island, South Korea (2010)
Udyansky, A.; von Pezold, J.; Dick, A.; Neugebauer, J.: Impurity ordering in iron: An ab initio based multi-scale approach. GraCoS Workshop (Carbon and Nitrogen in Steels: Measurement, Phase Transformations and Mechanical Properties), Rouen, France (2010)
Abu-Farsakh, H.; Neugebauer, J.: Exploring the unusual diffusion of N adatoms on GaAs(001) using first principles calculations. DPG Frühjahrstagung 2010, Regensburg, Germany (2010)
Aydin, U.; Ismer, L.; Hickel, T.; Neugebauer, J.: Chemical trends of the solution enthalpy of hydrogen in 3d transition metals in dilute limit, derived from first principles. DPG Frühjahrstagung 2010, Regensburg, Germany (2010)
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
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…
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.