Counts, W. A.; Friák, M.; Battaile, C.; Raabe, D.; Neugebauer, J.: Multiscale Prediction of Polycrystal Elastic Properties of Ultralight Weight Mg-Li Alloys using Ab Initio and FEM Approaches. MRS Fall Conference 2008, Boston, MA, USA (2008)
Counts, W. A.; Ma, D.; Friák, M.; Neugebauer, J.; Raabe, D.: Multiscale design of aluminium alloys based on ab-initio methods. ICAA 11 – 11th International Conference on Aluminium Alloys 2008, Aachen, Germany (2008)
Raabe, D.; Friak, M.; Neugebauer, J.; Counts, W. A.: Homogenization in Polycrystal Mechanics on the Basis of First Principles Simulations. IUTAM Symposium on Variational Concepts in Materials Mechanics, Ruhr-Universität Bochum, Germany (2008)
Friák, M.; Sander, B.; Ma, D.; Counts, W. A.; Raabe, D.; Neugebauer, J.: Ab-initio based multi-scale approaches to the elasticity of polycrystals. Mid-term COST conference on Multiscale Modeling of Materials, COST action 19, Brno, Czech Republic (2008)
Counts, W. A.: FEM: A Basic Overview of the Method & Outlook on Applications. MPIE inter-departmental tutorial day(s) 2008, MPI für Eisenforschung GmbH, Düsseldorf, Germany (2008)
Counts, W. A.; Friák, M.; Raabe, D.; Neugebauer, J.: Using Ab Initio to Predict Engineering Parameters in bcc Magnesium-Lithium Alloys. American Physics Society March Meeting, New Orleans, LA, USA (2008)
Counts, W. A.; Friák, M.; Raabe, D.; Neugebauer, J.: Using Ab Initio to Predict Engineering Parameters in bcc Magnesium-Lithium Alloys. Deutsche Physikalische Gesellschaft Meeting, Berlin, Germany (2008)
Nikolov, S.; Sachs, C.; Counts, W. A.; Fabritius, H.; Raabe, D.: Modeling of the Mechanical Behavior of Bone at Submicron Scale through Mean-Field Homogenization. European Congress and Exhibition on Advanced Materials and Processes (EUROMAT 2007), Nürnberg, Germany (2007)
Friák, M.; Counts, W. A.; Raabe, D.; Neugebauer, J.: Identification of fundamental materials-design limits in ultra light-weight Mg–Li alloys via quantum-mechanical calculations. Materials Science and Engineering 2010, Darmstadt, Germany (2010)
Counts, W. A.: FEM: A Basic Overview of the Method & Outlook on Applications. Lecture: Aachen Institute for Advanced Studies in Computational Engineering and Science (AICES), Aachen, Germany, 2008-09
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
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…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
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…