Results 71 to 80 of about 17,581 (216)

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

Hybrid Approach for a Knowledge Recommender Service: A Combination of Item-Based and Tag-Based Recommendation

Walailak Journal of Science and Technology, 2017
An exponentially increasing of knowledge in a knowledge management system is the main cause of the knowledge overload problem. A development of knowledge recommender service embedded in the knowledge management system becomes a challenging task.
Winyu NIRANATLAMPHONG, Worasit CHOOCHAIWATTANA   +1 more
doaj  

SBMLmod: a Python-based web application and web service for efficient data integration and model simulation

BMC Bioinformatics, 2017
Background Systems Biology Markup Language (SBML) is the standard model representation and description language in systems biology. Enriching and analysing systems biology models by integrating the multitude of available data, increases the predictive ...
Sascha Schäuble, Anne-Kristin Stavrum, Mathias Bockwoldt, Pål Puntervoll, Ines Heiland   +4 more
doaj   +1 more source

Handling backtracking in Web applications

Proceedings. 30th Euromicro Conference, 2004., 2004
A common challenge in the development of web applications today lies in the handling of unforeseen navigation steps initiated by the user through the browser’s Back, Forward and Reload buttons. These operations break the synchrony of dialog states on the server and the client, provoking non-intuitive and possibly destructive application behaviour if ...
Biel, Bettina, Book, Matthias, Gruhn, Volker, Peters, Dirk, Schäfer, Clemens   +4 more
openaire   +3 more sources

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

GISClient: la soluzione adatta per la rete

GEOmedia, 2009
GisClient: the internet GIS solution GisClient is a web applications that allows the management of complex GIS projects, through the use of simple features. In addition to configuring the map, provides powerful tools for managing and analyzing data, all
Davide Caviglia
doaj   +2 more sources

Vulnerabilities of modern web applications

2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2017
The security of modern web applications is becoming increasingly important with their growing usage. As millions of people use these services, the availability, integrity, and confidentiality are critical. This paper describes the process of penetration testing of these applications.
Filip Holík, Sona Neradova
openaire   +2 more sources

Zein‐Based Adhesives: Sustainable Extraction and Application in Bioadhesive Technologies

Advanced Engineering Materials, EarlyView.
Zein is extracted from corn gluten meal using a simple and scalable process with high yield (~90%). The resulting protein is applied in bioadhesives modified with Ca2+ and Fe3+ ions, exhibiting substrate‐dependent adhesion. The findings demonstrate competitive bonding performance and highlight the role of ionic interactions in tuning adhesion ...
Paula Bertolino Sanvezzo, Daniela Winsley Valereto Friozi, Vinícius de Oliveira, Marcia Cristina Branciforti   +3 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

Productivity‐Driven Optimization of Laser Powder Bed Fusion Parameters for IN718 Superalloy: Process Control, Microstructure, and Mechanical Properties

Advanced Engineering Materials, EarlyView.
This study demonstrates how optimizing laser power, scanning speed, and hatching distance in laser powder bed fusion can boost the productivity of Inconel 718 manufacturing by up to 29% while maintaining mechanical integrity. The work delivers a validated process window and cost–time analysis, offering industry‐ready guidelines for efficient additive ...
Amir Behjat, Guido Barale, John Stavridis, Ehsan Norouzi, Jin‐Yoo Suh, Dong‐Ik Kim, Luca Iuliano, Abdollah Saboori   +7 more
wiley   +1 more source