Results 91 to 100 of about 105,654 (223)
International Journal of Nanomedicine, 2020 Alexander J Steeves,1,2 William Ho,1,2,* Maria Chiara Munisso,3,* David J Lomboni,1,2 Enara Larrañaga,4 Sidney Omelon,1,5 Elena Martínez,4,6,7 Davide Spinello,1 Fabio Variola1,2,8,9 1Faculty of Engineering, Department of Mechanical ...
Steeves AJ +8 more
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What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.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
Advanced Engineering Materials, EarlyView.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
PLoS ONEBackgroundPatients with severe acute pancreatitis (SAP) often experience intense pain that significantly impacts their quality of life and may hinder recovery. Current pain management approaches have limitations.
You Yuan +12 more
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Advanced Engineering Materials, EarlyView.Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Salāmat-i kār-i Īrān, 2020 Background and Aim: Boredom is a psychological phenomenon which is caused by many factors and it can be accompanied by undesirable effects such as reduction of professional performance. Boredom in the workplace leads to a decrease in job satisfaction and
Shahnaz Rimaz +7 more
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Multimodal Data‐Driven Microstructure Characterization
Advanced Engineering Materials, EarlyView.A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.A two‐dimensional multiscale finite element analysis framework was established for the first‐generation MoSiBTiC alloy, and the mechanical and fracture‐related parameters of the constituent phases were calibrated through experiments and simulations. The framework provides a basis for analyzing crack propagation behavior in its complex microstructure ...
Junfeng Du +4 more
wiley +1 more source
Factors Affecting Sustainable Land Management Practices by Rural Households in Sib and Souran Area
جغرافیا و پایداری محیطSustainable land management is considered a sustainable way to combat the threat of various forms of land destruction and erosion. However, there is little information on the factors affecting the household's decision to implement sustainable land ...
Sirous Ghanbari, Mehrbibi Paskuhi
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EGS Richardson AGU Chapman NVAG3 Conference: Nonlinear Variability in Geophysics: scaling and multifractal processes [PDF]
Nonlinear Processes in Geophysics, 1994 1. The conference The third conference on "Nonlinear VAriability in Geophysics: scaling and multifractal processes" (NVAG 3) was held in Cargese, Corsica, Sept. 10-17, 1993.
D. Schertzer, S. Lovejoy, S. Lovejoy
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