Fabritius, H.; Nikolov, S.; Hild, S.; Ziegler, A.; Friák, M.; Neugebauer, J.; Raabe, D.: Design principles of crustacean cuticle: From molecules to skeletal elements. Workshop „From Nanoparticle Assembly to Functional Polymer Components” at Department of Geo- and Environmental Sciences, LMU, München, Germany (2011)
Elstnerová, P.; Friák, M.; Neugebauer, J.: Enhancing mechanical properties of calcite by Mg substitutions - A Quantum-Mechanical Study. Multi-Scale Mechanics of Biological and Bio-Inspired Hierarchical Materials and Surfaces, Glasgow, UK (2011)
Elstnerová, P.; Friák, M.; Neugebauer, J.: Enhancing mechanical properties of calcite by Mg substitutions - A quantum-mechanical study. EuroBioMat - European Symposium on Biomaterials and Related Areas, Jena, Germany (2011)
Zhu, L.-F.; Friák, M.; Dick, A.; Udyansky, A.; Neugebauer, J.: First principles study of elastic properties of eutectic Ti-Fe alloys up to their mechanical stability limits. DPG Spring Meeting 2011, Dresden, Germany (2011)
Fabritius, H.; Nikolov, S.; Hild, S.; Ziegler, A.; Friák, M.; Neugebauer, J.; Raabe, D.: Mechanical Design Principles of Crustacean Cuticle evaluated experimentally and by Ab initio-based Multiscale Simulations. Institute Colloquium, Institut de Mécanique des Fluides et des Solides, CNRS, Strasbourg, France (2011)
Sandlöbes, S.; Friák, M.; Dick, A.; Zaefferer, S.; Pei, Z.; Neugebauer, J.; Raabe, D.: Combining ab initio calculations and high-resolution experiments to understand advanced Mg alloys. German-Korean workshop on the “Production and industrial applications of semi-finished Mg products”, Irsee, Germany (2011)
Fabritius, H.; Nikolov, S.; Hild, S.; Ziegler, A.; Friák, M.; Neugebauer, J.; Raabe, D.: Design Principles of Load-bearing Cuticle from different Crustacean Species evaluated experimentally and by Ab initio-based Multiscale Simulations. MRS Fall Meeting 2010, Boston, MA, USA (2010)
Raabe, D.; Fabritius, H.; Nikolov, S.; Petrov, M.; Friak, M.; Elstnerová, P.; Neugebauer, J.: Ab initio based multiscale modeling of biological composites: Example of the exoskeleton of the lobster Homarus Americanus. Colloquium Lecture, Center for Nanoscience CeNS, Ludwigs-Maximilians Universität München, München, Germany (2010)
Friák, M.; Counts, W. A.; Raabe, D.; Neugebauer, J.: Identification of fundamental materials‐design limits in ultra lightweight Mg–Li alloys via quantum-mechanical calculations. Multiscale Materials Modeling, Freiburg, Germany (2010)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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
It is very challenging to simulate electron-transfer reactions under potential control within high-level electronic structure theory, e. g. to study electrochemical and electrocatalytic reaction mechanisms. We develop a novel method to sample the canonical NVTΦ or NpTΦ ensemble at constant electrode potential in ab initio molecular dynamics…
The utilization of Kelvin Probe (KP) techniques for spatially resolved high sensitivity measurement of hydrogen has been a major break-through for our work on hydrogen in materials. A relatively straight forward approach was hydrogen mapping for supporting research on hydrogen embrittlement that was successfully applied on different materials, and…
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…
Photovoltaic materials have seen rapid development in the past decades, propelling the global transition towards a sustainable and CO2-free economy. Storing the day-time energy for night-time usage has become a major challenge to integrate sizeable solar farms into the electrical grid. Developing technologies to convert solar energy directly into…
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…