von Pezold, J.; Lymperakis, L.; Neugebauer, J.: Atomistic study of the Hydrogen enhanced local plasticity (HELP) mechanism. ADIS 2010, Mechanical Properties, Ringberg, Germany (2010)
Himmerlich, M.; Lorenz, P.; Lymperakis, L.; Gutt, R.; Neugebauer, J.; Krischok, S.: GaN(0001) Surface States: A Comparison Between Photoelectron Spectroscopy and Density Functional Theory. International Workshop on Nitride Semiconductors, Tampa, Florida, USA (2010)
Lymperakis, L.; Neugebauer, J.: Ab initio Based Growth Simulations of III-Nitride Nanowires. International Workshop on Nitride Semiconductors, Tampa, Florida, USA (2010)
von Pezold, J.; Lymperakis, L.; Neugebauer, J.: Embrittlement in metals: An atomistic study of the Hydrogen enhanced local plasticity (HELP) mechanism. 139th Annual Meeting of the Minerals, Metals and Materials Society (TMS), Seattle, WA, USA (2010)
Lymperakis, L.; Neugebauer, J.: Ab-initio based growth simulations of III-Nitride nanowires. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
Nikolov, S.; Petrov, M.; Lymperakis, L.; Friák, M.; Sachs, C.; Fabritius, H.; Neugebauer, J.; Raabe, D.: Extremal stiffness of crustacean cuticle through hierarchical optimization: Theory, modeling, and experiment. 3rd International Conference on Mechanics of Biomaterials & Tissues, multiscale modeling of tissue mechanical properties, Clearwater Beach, FL, USA (2009)
von Pezold, J.; Lymperakis, L.; Neugebauer, J.: Understanding embrittlement in metals: A multiscale study of the Hydrogen-enhanced local plasticity mechanism. Materials Research Society (MRS) Fall meeting, Boston, MA, USA (2009)
Lymperakis, L.; Neugebauer, J.: Adatom Kinetics, Thermodynamics, and Si Incorporation on Non-Polar III-Nitride Surfaces: Implications on Nanowire Growth. 8th nternational Conference on Nitride Semiconductors, Jeju Island, South Korea (2009)
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
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.
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…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…