Zendegani, A.; Körmann, F.; Hickel, T.; Hallstedt, B.; Neugebauer, J.: Thermodynamic properties of the quaternary Q phase in Al–Cu–Mg–Si: a combined ab-initio, phonon and compound energy formalism approach. International Conference on Advanced Materials Modelling (ICAMM), Rennes, France (2016)
Neugebauer, J.: Ab initio description of defects in materials under extreme conditions. 2016 Joint ICTP-CAS-IAEA School and Workshop on Plasma-Material Interaction in Fusion Devices, Hefei, China (2016)
Zhu, L.-F.; Grabowski, B.; Neugebauer, J.: Development of methodologies to efficiently compute melting properties fully from ab initio. 2nd German-Dutch Workshop on Computational Materials Science, Domburg, The Netherlands (2016)
Neugebauer, J.: Hydrogen embrittlement research at the MPIE (Max-Planck-Institut für Eisenforschung). SNEAC Workshop Environmental Assisted Cracking, Trondheim, Norway (2016)
Dutta, B.; Hickel, T.; Neugebauer, J.: Phase diagrams in magnetic shape memory alloys: Insights obtained from ab initio thermodynamics. The forty-fifth International Conference on Computer Coupling of Phase Diagrams and Thermochemistry, Awaji Island, Hyogo, Japan (2016)
Neugebauer, J.: Ab initio determination of lattice stabilities and comparison to CALPHAD. Plenary talk, CALPHAD XLV Conference, Awaji Island, Japan (2016)
Surendralal, S.; Todorova, M.; Neugebauer, J.: Automated calculations for charged point defects in MgO and α-Fe2O3. DPG-Frühjahrstagung 2016, Regensburg, Germany (2016)
Dutta, B.; Debashish, D.; Ghosh, S.; Sanyal, B.; Hickel, T.; Neugebauer, J.: Intricacies of phonon line shapes in random alloys: A first-principles study. DPG Spring Meeting of the Condensed Matter Section, Regensburg, Germany (2016)
Dutta, B.; Begum, V.; Hickel, T.; Neugebauer, J.: Impact of point defects on the phase stability in Heusler alloys: A first-principles study. DPG Spring Meeting of the Condensed Matter Section, Regensburg, Germany (2016)
Vatti, A. K.; Todorova, M.; Neugebauer, J.: Ab initio Determination of Formation Energies and Charge Transfer Levels of Charged Ions in Water. APS 2016, Baltimore, MD, USA (2016)
Vatti, A. K.; Todorova, M.; Neugebauer, J.: Formation Energy of Ions in Water using ab-initio Molecular Dynamics. DPG Frühjahrstagung 2016, Regensburg, Germany (2016)
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
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.
The general success of large language models (LLM) raises the question if they could be applied to accelerate materials science research and to discover novel sustainable materials. Especially, interdisciplinary research fields including materials science benefit from the LLMs capability to construct a tokenized vector representation of a large…
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.