Results 101 to 110 of about 130,794 (313)

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

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, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

E-mobility Search Engine (Version 1.0)

, 2014
<p>This is the first release package of the emobility-search-engine. The package comes with all dependencies and a pre-build search index, which allows an easy setup.
Dennis Riehle (7874870), Riehle, Dennis M.   +1 more
core   +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, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

How Do Parsijoo, Parseek and Google Respond to the Students’ Course-related Queries? [PDF]

International Journal of Information Science and Management
This study aimed to identify the quality of web pages retrieved by Parsijoo and Parseek Persian search engines and Google to respond to students' course-related queries. This study was conducted using evaluations from a researcher-made checklist.
Fatemeh Alipour Yami, Masoumeh Tajafari, Mohsen Nowkarizi   +2 more
doaj   +1 more source

Bielefeld Academic Search Engine: a (Potential Information-)BASE for the Working Mathematician

, 2004
Höppner M. Bielefeld Academic Search Engine: a (Potential Information-)BASE for the Working Mathematician. In: Becker H, Stange K, Wegner B, eds. New developments in electronic publishing of mathematics.
Höppner, Michael, Stange, Kari, Becker, Hans, Wegner, Bernd   +3 more
core  

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

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, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

A k-Nearest-Neighbour Method for Classifying Web Search Results with Data in Folksonomies

, 2008
Traditional Web search engines mostly adopt a keyword-based approach. When the keyword submitted by the user is ambiguous, search result usually consists of documents related to various meanings of the keyword, while the user is probably interested in ...
Ching-man Au Yeung, Gibbins, Nicholas, Nigel Shadbolt, Nicholas Gibbins, Au Yeung, Ching Man, Shadbolt, Nigel   +5 more
core   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

Enhancing Strength and Electrical Conductivity in Al–Zr–Sc Conductor Alloys Through Sn and Sr Microalloying and Two‐Step Aging Treatment

Advanced Engineering Materials, EarlyView.
Trace additions of Sn and Sr combined with a two‐step aging treatment are shown to enhance the microstructure and performance of Al–Zr–Sc conductor alloys. Strength and electrical conductivity increase concurrently through accelerated precipitation of fine Al3(Sc, Zr) precipitates and improved dislocation resistance, offering a cost‐effective pathway ...
Quan Shao, Emad M. Elgallad, Alexandre Maltais, X.‐Grant Chen   +3 more
wiley   +1 more source