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Multi-modal data-driven microstructure characterization
Qi Zhang, Santiago Benito, Sebastian Weber +1
Electron backscatter diffraction is one of the most prevalent techniques used for microstructural characterization. In recent years, there has been an increase in the use of data-d…
Ontology-aligned structuring and reuse of multimodal materials data and workflows towards automatic reproduction
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon +3
Reproducibility of computational results remains a challenge in materials science, as simulation workflows and parameters are often reported only in unstructured text and tables. W…
Field report from Collaborative Research Center 1625: Heterogeneous research data management using ontology representations
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani +4
The goal of the Collaborative Research Center 1625 is the establishment of a scientific basis for the atomic-scale understanding and design of multifunctional compositionally compl…
Electrocatalyst discovery through text mining and multi-objective optimization
Lei Zhang, Markus Stricker
The discovery and optimization of high-performance materials is the basis for advancing energy conversion technologies. To understand composition-property relationships, all availa…
Composition-property extrapolation for compositionally complex solid solutions based on word embeddings
Lei Zhang, Lars Banko, Wolfgang Schuhmann +2
Mastering the challenge of predicting properties of unknown materials with multiple principal elements (high entropy alloys/compositionally complex solid solutions) is crucial for…