4 papers
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…
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.…
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…