Calcagnotto, M.; Ponge, D.; Raabe, D.: On the Effect of Manganese on Grain Size Stability and Hardenability in Ultrafine-Grained Ferrite/Martensite Dual-Phase Steels. Metallurgical and Materials Transactions A 43A, pp. 37 - 46 (2012)
Calcagnotto, M.; Adachi, Y.; Ponge, D.; Raabe, D.: Deformation and fracture mechanisms in fine- and ultrafine-grained ferrite/martensite dual-phase steels and the effect of aging. Acta Materialia 59 (2), pp. 658 - 670 (2011)
Dmitrieva, O.; Ponge, D.; Inden, G.; Millán, J.; Choi, P.; Sietsma, J.; Raabe, D.: Chemical gradients across phase boundaries between martensite and austenite in steel studied by atom probe tomography and simulation. Acta Materialia 59 (1), pp. 364 - 374 (2011)
Herrera, C.; Ponge, D.; Raabe, D.: Design of a novel Mn-based 1 GPa duplex stainless TRIP steel with 60% ductility by a reduction of austenite stability. Acta Materialia 59, pp. 4653 - 4664 (2011)
Millán, J.; Ponge, D.; Raabe, D.; Choi, P.; Dmitrieva, O.: Characterization of Nano-Sized Precipitates in a Mn-Based Lean Maraging Steel by Atom Probe Tomography. Steel Research Int. 82, pp. 137 - 145 (2011)
Calcagnotto, M.; Ponge, D.; Raabe, D.: Orientation gradients and geometrically necessary dislocations in ultrafine grained dual-phase steels studied by 2D and 3D EBSD. Materials Science and Engineering A 527, pp. 2738 - 2746 (2010)
Calcagnotto, M.; Ponge, D.; Raabe, D.: Effect of grain refinement to 1 μm on strength and toughness of dual-phase steels. Materials Science and Engineering A 527 (29-30), pp. 7832 - 7840 (2010)
Herrera, C.; Ponge, D.; Raabe, D.: Characterization of the microstrcture, crystallographic texture and segregation of an as-cast duplex stainless steel slab. Steel Research International 79 (6), pp. 482 - 488 (2008)
Barani, A.; Li, F.; Romano, P.; Ponge, D.; Raabe, D.: Design of high-strength steels by microalloying and thermomechanical treatment. Special Issue Materials Science and Engineering A 463, pp. 138 - 146 (2007)
Takahashi, T.; Ponge, D.; Raabe, D.: Investigation of orientation gradients in pearlite in hypoeutectoid steel by use of orientation imaging microscopy. Steel Research International 78 (1), pp. 38 - 44 (2007)
Li, F.; Ardehali Barani, A.; Ponge, D.; Raabe, D.: Austenite Grain Coarsening Behavior in a Medium Carbon Si–Cr spring steel with and without Vanadium. Steel Research International 77 (8), pp. 590 - 594 (2006)
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.
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…