Ismer, L.: Lattice dynamics and thermodynamic properties of the secondary structure of proteins: A DFT-GGA based analysis, plus a short introduction to SFHIngX. Seminar, University of California, Santa Barbara, USA (2005)
Ismer, L.; Ireta, J.; Neugebauer, J.; Scheffler, M.: A DFT-GGA based thermodynamic analysis of the secondary structure of proteins. DPG-Jahrestagung, Berlin, Germany (2005)
Aydin, U.; Ismer, L.; Hickel, T.; Neugebauer, J.: Chemical trends of the solution enthalpy of dilute hydrogen in 3d transition metals, derived from first principles. Summer School: Computational Materials Science, San Sebastian, Spain (2010)
Friák, M.; Sob, M.; Kim, O.; Ismer, L.; Neugebauer, J.: First principles study of the alpha-iron stability limits. 448. Wilhelm und Else Heraeus-Seminar "Excitement in magnetism: Spin-dependent scattering and coupling of excitations in ferromagnets", Tegernsee, Ringberg, Germany (2009)
Friák, M.; Sob, M.; Kim, O.; Ismer, L.; Neugebauer, J.: First principles study of the alpha-iron stability limits. Ab initio Description of Iron and Steel: Magnetism and Phase diagrams (ADIS 2008), Ringberg Castle, Tegernsee, Germany (2008)
Ismer, L.; Hickel, T.; Neugebauer, J.: First principles analysis of Hydrogen in Manganese-rich austentitic steels. Spring meeting of the German Physical Society (DPG), Berlin, Germany (2008)
Ismer, L.; Hickel, T.; Neugebauer, J.: First principles study of Hydrogen in Mn-rich austenitic steels. Spring meeting of the German Physical Society (DPG), Berlin, Germany (2008)
Ismer, L.; Ireta, J.; Neugebauer, J.: Employing DFT and periodic boundary conditions to study the thermodynamic stability of the secondary structure of proteins. ADIS 2006, Ringberg Castle (2006)
Ismer, L.; Ireta, J.; Neugebauer, J.: Thermodynamic stability of the secondary structure of proteins: A DFT-GGA based vibrational analysis. IPAM-Workshop: Multiscale Modeling in Soft Matter and Bio-Physics, Los Angeles, CA, USA (2005)
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
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.
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.