9 citations · 14 across the 5 of their papers we have counts for
6 papers
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…
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…
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…
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…
Computationally accelerated experimental materials characterization -- drawing inspiration from high-throughput simulation workflows
Markus Stricker, Lars Banko, Nik Sarazin +5
Computational materials science increasingly benefits from data management, automation, and algorithm-based decision-making for the simulation of material properties and behavior.…