activity
20232026
most citedMatNexus: A Comprehensive Text Mining and Analysis Suite for Materials Discover

9 citations · 10 across the 8 of their papers we have counts for

collaborators

12 papers

cond-mat.mtrl-sci2026

Knowledge-Driven XRD Phase Identification via Multi-View Retrieval and Explanation

Doaa Mohamed, Markus Stricker

X-ray diffraction (XRD) is a experimental technique for determining the phase composition and structure of crystalline materials. However, interpreting XRD patterns is challenging,…

cs.CL2026

A literature-guided descriptor-based framework for filtering composition search spaces

Lei Zhang, Markus Stricker

Scientific literature contains latent knowledge about materials behavior, but much of this knowledge is expressed through words, contexts, and recurring associations rather than ex…

cs.DB2026

Integrating Semantics into Research Data Management: Modelling and Validating Materials Science Experiment Workflows

Samuel García Vázquez, Victor Dudarev, Alfred Ludwig +2

The incorporation of Semantic Web technologies within scientific environments is becoming an increasingly popular Research Data Management (RDM) practice. While ontologies offer fl…

cs.DL2026

Journal Research Data Policies in Materials Science

Lukas Hörmann, Hemanadhan Myneni, Rwayda Kh. S. Al-Hamd +17

Open and reproducible research in materials science relies on the availability of data, code, and common metadata standards. Journal research data policies (RDPs) remain a primary…

cond-mat.mtrl-sci2026

From Word2Vec to Transformers: Text-Derived Composition Embeddings for Filtering Combinatorial Electrocatalysts

Lei Zhang, Markus Stricker

Compositionally complex solid solution electrocatalysts span vast composition spaces, and even one materials system can contain more candidate compositions than can be measured exh…

cond-mat.mtrl-sci2026

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…

cond-mat.mtrl-sci2026

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…

cond-mat.mtrl-sci2026

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…

cs.CL2025

Iterative Corpus Refinement for Materials Property Prediction Based on Scientific Texts

Lei Zhang, Markus Stricker

The discovery and optimization of materials for specific applications is hampered by the practically infinite number of possible elemental combinations and associated properties, a…

cond-mat.mtrl-sci2025

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…

cond-mat.mtrl-sci2024★ 1 cited

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…

cond-mat.mtrl-sci2023★ 9 cited

MatNexus: A Comprehensive Text Mining and Analysis Suite for Materials Discover

Lei Zhang, Markus Stricker

MatNexus is a specialized software for the automated collection, processing, and analysis of text from scientific articles. Through an integrated suite of modules, the MatNexus fac…