Yamada, K.; Horiuchi, T.; Stein, F.; Miura, S.: Effect of Metastable L12-Co3Nb on Precipitation of Intermetallic Phases from Nb-Supersaturated Co Solid Solution in Co-rich Co-Nb Binary Alloys. 6th Int. Indentation Workshop, IIW6, Sapporo, Japan (2018)
Abe , K.; Horiuchi, T.; Stein, F.; Taniguchi, S.: Interrelation between Crystal Structure of Co Solid Solution Matrix and Precipitation of Intermetallic Phases in Co-rich Co–Nb Alloys. Calphad XLV, Awaji Island, Hyogo, Japan (2016)
Horiuchi, T.; Stein, F.: Precipitation Behavior of Co7Nb2 from Supersaturated Co Solid Solution in Co–Nb Binary System. Intermetallics 2015, Educational Center Kloster Banz, Bad Staffelstein, Germany (2015)
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.
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…