Cojocaru-Mirédin, O.; Choi, P.; Schwarz, T.; Würz, R.; Raabe, D.: Exploring the internal interfaces at the atomic-scale in CIGS thin-films solar cells. DPG-Frühjahrstagung Modern, Atom Probe Tomography, TU Berlin, Germany (2012)
Cojocaru-Mirédin, O.; Schwarz, T.; Choi, P.; Würz, R.; Raabe, D.: Exploring the internal interfaces at the atomic-scale in thin-film solar cells. Seminar Talk at Helmholtz Zentrum Berlin (HZB), Berlin, Germany (2012)
Li, Y. J.; Choi, P.; Goto, S.; Borchers, C.; Raabe, D.; Kirchheim, R.: Evolution of strength and microstructure during annealing of heavily cold-drawn 6.3 GPa hypereutectoid pearlitic steel wire. 53rd International Field Emission Symposium (IFES), Tascaloosa, AL, USA (2012)
Choi, P.: Characterization of advanced functional and structural materials using Atom Probe Tomography. Inauguration symposium for the Atom Probe facilities ETH Zürich, Zürich, Switzerland (2011)
Cojocaru-Mirédin, O.; Choi, P.; Würz, R.; Abou-Ras, D.; Raabe, D.: Explorer les interfaces à l’échelle atomique dans les cellules photovoltaïques CIGSe. Commissariat à l’Energie Atomique et aux Energies Alternatives, Grenoble, France (2011)
Herbig, M.; Li, Y.; Choi, P.: Atomic Analysis of Concentration Changes at Interfaces by Atom Probe Tomography. SFB 761 Doktorandenseminar, RWTH Aachen, Germany (2011)
Cojocaru-Mirédin, O.; Choi, P.; Abou-Ras, D.; Wuerz, R.; Liu, T.; Schmidt, S. S.; Caballero, R.; Raabe, D.: Characterization of internal interfaces in Cu(In,Ga)Se2 thin-film solar cells using Atom Probe Tomography. Euromat 2011, Montpellier, France (2011)
Choi, P.: Study of local chemical gradients in advanced precipitation hardened steel using atom probe tomography. THERMEC 2011, Québec City, QC, Canada (2011)
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.