Results 81 to 90 of about 2,491,505 (285)
Advanced Engineering Materials, Volume 27, Issue 6, March 2025.ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur +5 more
wiley +1 more source
Errors, Corrections and other Textual Problems in Three Copies of a Middle English Antidotary
NJES: Nordic Journal of English studies, 2014 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
Personalized summarization of scientific scholarly texts
Expert Systems with ApplicationsIn 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
Advanced Engineering Materials, EarlyView.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
An original template solution for FAIR scientific text mining. [PDF]
MethodsX, 2023 Zondervan NA, Tolentino-Zondervan F.
europepmc +1 more source
Translating features of scientific texts
Izvestiya MGTU MAMI, 2014 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
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 large dataset of scientific text reuse in Open-Access publications. [PDF]
Sci Data, 2023 Gienapp L +4 more
europepmc +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
pyResearchInsights-An open-source Python package for scientific text analysis. [PDF]
Ecol Evol, 2021 Shetty SJ, Ramesh V.
europepmc +1 more source