Haghighat, S. M. H.; Eggeler, G. F.; Raabe, D.: Effect of climb on dislocation mechanisms and creep rates in γ’-strengthened Ni base superalloy single crystals: A discrete dislocation dynamics study. Acta Materialia 61 (10), pp. 3709 - 3723 (2013)
Chen, Y. Z.; Herz, A.; Li, Y. J.; Borchers, C.; Choi, P.; Raabe, D.; Kirchheim, R.: Nanocrystalline Fe–C alloys produced by ball milling of iron and graphite. Acta Materialia 61 (9), pp. 3172 - 3185 (2013)
Sandim, M. J. R.; Tytko, D.; Kostka, A.; Choi, P.; Awaji, S.; Watanabe, K.; Raabe, D.: Grain boundary segregation in a bronze-route Nb3Sn superconducting wire studied by atom probe tomography. Superconductor Science and Technology 26, pp. 055008-1 - 055008-7 (2013)
Siboni, N. H.; Raabe, D.; Varnik, F.: Maintaining the equipartition theorem in small heterogeneous molecular dynamics ensembles. Physical Review E 87 (3), pp. 030101-1 - 030101-4 (2013)
Nematollahi, A.; von Pezold, J.; Neugebauer, J.; Raabe, D.: Thermodynamics of carbon solubility in ferrite and vacancy formation in cementite in strained pearlite. Acta Materialia 61 (5), pp. 1773 - 1784 (2013)
Seol, J.-B.; Raabe, D.; Choi, P.; Park, H. S.; Kwak, J. H.; Park, C. G.: Direct evidence for the formation of ordered carbides in a ferrite based low-density Fe–Mn–Al–C alloy studied by transmission electron microscopy and atom probe tomography. Scripta Materialia 68 (6), pp. 348 - 353 (2013)
Titrian, H.; Aydin, U.; Friák, M.; Ma, D.; Raabe, D.; Neugebauer, J.: Self-consistent scale-bridging approach to compute the elasticity of multi-phase polycrystalline materials. Materials Research Society Symposia Proceedings 1524, pp. 17 - 23 (2013)
Gutiérrez-Urrutia, I.; Raabe, D.: Influence of Al content and precipitation state on the mechanical behavior of austenitic high-Mn low-density steels. Scripta Materialia 68 (6), pp. 343 - 347 (2013)
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.
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…