Results 81 to 90 of about 2,469,570 (286)
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
This study investigates laser shock peening for enhancing fatigue performance of riveted aerospace aluminum joints. A comparative approach with cold expansion combines fatigue testing and synchrotron X‐ray methods. Integrating mechanical testing with residual stress and strain characterization provides insights into how different treatments affect the ...
Ogün Baris Tapar +6 more
wiley +1 more source
Errors, Corrections and other Textual Problems in Three Copies of a Middle English Antidotary
Error analysis has been traditionally conceived as the step prior to any critical editing, providing the editor with grounded arguments to devise a stemma that would accurately reflect the relationship between the extant copies.
Teresa Marqués-Aguado
doaj +1 more source
Freeze‐drying of layered silicate is the key to get coatings with superior gas barrier. Freeze‐drying of layered silicates modified with dodecylamine (DDA) is a highly effective technique for the preparation of barrier pigments that significantly mitigate the permeation of oxygen, water vapor, and hydrogen through polymer films containing these ...
Joshua Lommes +4 more
wiley +1 more source
Personalized summarization of scientific scholarly texts
In this paper, we present a proposal for an unsupervised algorithm, P-Summ, that generates an extractive summary of scientific scholarly text to meet the personal knowledge needs of the user. The method delves into the latent semantic space of the document exposed by Weighted Non-negative Matrix Factorization, and scores sentences in consonance with ...
Alka Khurana +2 more
openaire +2 more sources
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
An original template solution for FAIR scientific text mining. [PDF]
Zondervan NA, Tolentino-Zondervan F.
europepmc +1 more source
Translating features of scientific texts
The article discusses the main features of translation of scientific texts on three aspects: grammatical, lexical, stylistic. A special place in the article is given to syntax structure of scientific text and the use of precision vocabulary in it.
M. M. Borishanskaya, M. A. Kurbakova
openaire +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
A large dataset of scientific text reuse in Open-Access publications. [PDF]
Gienapp L +4 more
europepmc +1 more source

