Springer, H.; Baron, C.; Tanure, L.; Rohwerder, M.: A combinatorial study of the effect of Al and Cr additions on the mechanical, physical and corrosion properties of Fe. Materials Today Communications 29, 102947 (2021)
Baron, C.; Werner, H.; Springer, H.: On the effect of carbon content and tempering on mechanical properties and stiffness of martensitic Fe–18.8Cr–1.8B–xC high modulus steels. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 809, 141000 (2021)
Baron, C.; Springer, H.: Property-Driven Development of Metallic Structural Materials by Combinatorial Techniques on the Example of Fe–C–Cr Steels. Steel Research International 90 (12), 1900404 (2019)
Baron, C.; Springer, H.; Raabe, D.: Development of high modulus steels based on the Fe – Cr – B system. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 724, pp. 142 - 147 (2018)
Baron, C.; Springer, H.; Raabe, D.: Combinatorial screening of the microstructure–property relationships for Fe–B–X stiff, light, strong and ductile steels. Materials and Design 112, pp. 131 - 139 (2016)
Baron, C.; Springer, H.; Raabe, D.: Effects of Mn additions on microstructure and properties of Fe–TiB2 based high modulus steels. Materials and Design 111, pp. 185 - 191 (2016)
Baron, C.; Springer, H.; Raabe, D.: Efficient liquid metallurgy synthesis of Fe–TiB2 high modulus steels via in-situ reduction of titanium oxides. Materials and Design 97, pp. 357 - 363 (2016)
Springer, H.; Aparicio-Fernández, R.; Duarte, M. J.; Zhang, H.; Baron, C.; Kostka, A.; Raabe, D.: Alloy design and processing routes for novel high modulus steels. In: PTM 2015 - Proceedings of the International Conference on Solid-Solid Phase Transformations in Inorganic Materials 2015, p. 981 (Eds. Chen, L.-Q.; Militzer, M.; Botton, G.; Howe, J.; Sinclair, C. W. et al.). International Conference on Solid-Solid Phase Transformations in Inorganic Materials 2015, PTM 2015, Whistler, BC, Canada, June 28, 2015 - July 03, 2015. PTM 2015, Whistler, British Columbia (2015)
Baron, C.; Springer, H.; Raabe, D.: Design of cost-efficient high modulus steels as innovative lightweight materials. Advanced Composite Materials Congress, Stockholm, Sweden (2018)
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.
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…