Horiuchi, T.; Yamada, K.; Ikeda, K.; Miura, S.; Stein, F.: Deformation behavior of Nb2Co7 as a promising candidate for a crystal-structure-dependent mille-feuille structured material. Intermetallics 2019, Bad Staffelstein, Germany (2019)
Yamada, K.; Horiuchi, T.; Stein, F.; Miura, M.: Effect of Metastable Co3Nb on Microstructural Evolution in Co–Nb Binary Alloys. JIM Spring Meeting 2018, Chiba, Japan (2018)
Horiuchi, T.; Stein, F.; Abe, K.; Taniguchi, S.: Formation of Complex Intermetallic Phases from Supersaturated Co Solid Solution in a Co–3.9Nb Alloy. TMS 2017 Annual Meeting, San Diego, CA, USA (2017)
Stein, F.; Horiuchi, T.: Discontinuous Precipitation of the Complex Intermetallic Phase Nb2Co7 from Supersaturated Co Solid Solution. Thermec 2016, Graz, Austria (2016)
Yamaguchi, M.; Horiuchi, T.; Ikeda, K.-I.; Miura, S.; Stein, F.: Evaluation of Hardness before and after Compression Test of Nb2Co7 Single-phase Alloy by Nanoindentation Test. JIM (Japanese Institute of Metals) Meeting, ePoster, online (2021)
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
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…