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2026
- D. Mohamed, S. García Vázquez, B. Mardani et al. Field report from collaborative research center 1625: heterogeneous research data management using ontology representations. Advanced Engineering Materials, 28, e202502877, (2026)
- D. Mohamed, M. Stricker. Knowledge-driven XRD phase identification via multi-view retrieval and explanation. Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track, 16948, 547–564, (2026)
- S. Baghaee Ravari, A. Azócar Guzmán, S. Menon et al. Ontology‐aligned structuring and reuse of multimodal materials data and workflows toward automatic reproduction. Advanced Engineering Materials, 28, e202600008, (2026)
- S. Pemma, L. Langenohl, S. Saood et al. Role of defects in the thermodynamic stability of grain boundary phases at asymmetric tilt boundaries in copper. Acta Materialia, 318, 122601, (2026)
- Y. Arslan. Quantiative hard-phase segmentation in wear-resistant materials using prompt-guided deep learning. Master Thesis, Ruhr-Universität Bochum, (2026)
- L. Zhang, M. Stricker. From Word2Vec to Transformers: text‐derived composition embeddings for filtering combinatorial electrocatalysts. Advanced Intelligent Discovery, n/a, e70158, (2026)
- Q. Zhang, S. Benito, Ö. Özgün et al. Multimodal data‐driven microstructure characterization. Advanced Engineering Materials, 28, e71200, (2026)
- D. Nerella, T. Jogi, Oguz Gulbay et al. A 2D and 3D microstructural descriptor approach to bainitic steels: Insights from phase-field simulations. Acta Materialia, 314, 122340, (2026)
- L. Hörmann, H. Myneni, R. Al-Hamd et al. Journal research data policies in materials science. Digital Discovery, 5, 2795–2808, (2026)
- S. Mehrani. Mapping the multi-modal data space pf CRC1625. Master Thesis, Ruhr-Universität Bochum, (2026)
- A. Tirunilai, Z. Ayrildi, B. Şen et al. Microstructure evolution of a VMnFeCoNi high‐entropy alloy after synthesis, swaging, and annealing. Advanced Engineering Materials, n/a, e202503162, (2026)
- M. Stricker, L. Banko, N. Sarazin et al. Computationally accelerated experimental materials characterization—drawing inspiration from high-throughput simulation workflows. npj Computational Materials, 12, 2, (2026)
- L. Zhang, M. Stricker. Iterative corpus refinement for materials property prediction based on scientific texts. Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 1, 89-103, (2026)