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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
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Erratum: Crestol et al., "Menopause status and within-group differences in chronological age affect the functional neural correlates of spatial context memory in middle-aged females". [PDF]
europepmc +1 more source
Spatial Cognition Adapts to Social Context.
Duran, Nicholas, Dale, Rick
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Spatial Context in Recognition
Perception, 1996In recognizing objects and scenes, partial recognition of objects or their parts can be used to guide the recognition of other objects. Here, the role of individual objects in the recognition of complete figures and the influence of contextual information on the identification of ambiguous objects were investigated.
M, Bar, S, Ullman
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Randomized Spatial Context for Object Search
IEEE Transactions on Image Processing, 2015Searching visual objects in large image or video data sets is a challenging problem, because it requires efficient matching and accurate localization of query objects that often occupy a small part of an image. Although spatial context has been shown to help produce more reliable detection than methods that match local features individually, how to ...
Yuning Jiang 0001 +3 more
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Spatial Embedding and Spatial Context
2009A serious issue in urban 2D remote sensing is that even if you can identify linear features it is often difficult to combine these to form the object you want - the building. The classical example is of trees overhanging walls and roofs: it is often difficult to join the linear pieces together.
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Episodic memory for spatial context biases spatial attention
Experimental Brain Research, 2008The study explores the bottom-up attentional consequences of episodic memory retrieval. Individuals studied words (Experiment 1) or pictures (Experiment 2) presented on the left or on the right of the screen. They then viewed studied and new stimuli in the centre of the screen.
CIARAMELLI, ELISA, Lin O., Moscovitch M.
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Externalities in a spatial context
Journal of Public Economics, 1977Abstract In this paper air pollution externalities are analyzed in an explicit spatial setting that recognizes the spatial interdependence of polluters and their victims. Optimal environmental policies are shown to consist not only of Pigouvian taxes but of two other policies.
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