Results 161 to 170 of about 3,537,586 (309)
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
This article provides an overview of recent advancements in bulk processing of rare‐earth‐free hard magnetic materials. It also addresses related simulation approaches at different scales. The research on rare‐earth‐free magnetic materials has increased significantly in recent years, driven by supply chain issues, environmental and social concerns, and
Daniel Scheiber, Andrea Bachmaier
wiley +1 more source
Graphical Markov Models with Mixed Graphs in R [PDF]
Kayvan Sadeghi, Giovanni M. Marchetti
openalex +1 more source
A revised Moore bound for mixed graphs [PDF]
D. Buset +4 more
semanticscholar +1 more source
Challenges during Flash Lamp Annealing of Aerosol‐Deposited Barium Titanate Films
Aerosol deposition is used to rapidly deposit barium titanate films with thicknesses ranging from 2 to 16 μm at room temperature, eliminating the need for further densification. However, to recover the electromechanical properties, annealing is required, which limits the usage of temperature‐sensitive substrates.
Michel Kuhfuß +7 more
wiley +1 more source
Can Embedding Solve Scalability Issues for Mixed-Data Graph Clustering? [PDF]
N.N. Fedorova +2 more
openalex +1 more source
Plasma‐assisted hybrid friction stir welding of dissimilar AlCu joints employs localized plasma preheating to balance heat input and enhance plastic flow. The optimized process reduces axial force by up to 35%, refines the microstructure, and achieves ≈96% joint efficiency.
Deepak Kumar Yaduwanshi +3 more
wiley +1 more source
Large language model-driven knowledge graph reasoning for enhanced semantic segmentation. [PDF]
Su J +6 more
europepmc +1 more source

