Results 111 to 120 of about 132,616 (300)
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
On the Modular Specification of NFPs: A Case Study [PDF]
, 2013 The modular specification of non-functional properties of systems is a current challenge of Software Engineering, for which no clear solution exists.
Durán-Muñoz, Francisco Javier +3 more
core +2 more sources
Advanced Engineering Materials, EarlyView.This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo +3 more
wiley +1 more source
Textual Transformations in Contemporary Black Writing in Britain
Advances in Language and Literary Studies, 2014 While the first wave of Caribbean immigrant writers brilliantly explored race-related issues, black Britons like Andrea Levy, Zadie Smith and Caryl Phillips, among others, have sought to depart from earlier fiction, motivated in their project by the changing white face of Britain.
openaire +2 more sources
Advanced Engineering Materials, EarlyView.The corrosion performance of AlSi7Mg and AlSi10Mg alloys produced through selective laser melting (SLM) was examined under compressive stress in a chloride environment. Electrochemical analyses, including open‐circuit potential (OCP), potentiodynamic polarization (CPP), and electrochemical impedance spectroscopy (EIS), were complemented by scanning ...
Femi John Akinfolarin +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
Elinvar Materials: Recent Progress and Challenges
Advanced Engineering Materials, EarlyView.Elinvar materials, exhibiting temperature‐invariant elastic modulus, are critical for precision instruments and emerging technologies. This article reviews recent progress in the field, with a focus on the anomalous thermoelastic behavior observed in key material systems.
Wenjie Li, Yang Ren
wiley +1 more source
Achieving QVTO & ATL Interoperability: An Experience Report on the Realization of a QVTO to ATL Computer [PDF]
, 2009 With the emergence of a number of model transformation languages the need for interoperability among them increases. The degree at which this interoperability can be achieved between two given languages depends heavily on their paradigms (declarative vs ...
Laarman, A.W.
core +1 more source
Advanced Engineering Materials, EarlyView.This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Building trainable taggers in a web-based, UIMA-supported NLP workbench [PDF]
, 2012 Argo is a web-based NLP and text mining workbench with a convenient graphical user interface for designing and executing processing workflows of various complexity.
Ananiadou, S, Kolluru, B, Rak, R
core +1 more source