Results 41 to 50 of about 149 (148)

FAIR and Structured Data: A Domain Ontology Aligned with Standard‐Compliant Tensile Testing

Advanced Engineering Materials, EarlyView.
The digitalization in materials science and engineering is discussed, emphasizing the importance of digital workflows and ontologies in managing diverse experimental data. Challenges such as quality assurance and data interoperability are tackled with semantic web technologies, focusing and introducing the tensile test ontology (TTO).
Markus Schilling, Bernd Bayerlein, Philipp von Hartrott, Jörg Waitelonis, Henk Birkholz, Pedro Dolabella Portella, Birgit Skrotzki   +6 more
wiley   +1 more source

A Virtual Home for the Virtual Clinical Trial

Journal of Medical Internet Research, 2020
Virtual clinical trials (VCTs) can satisfy the need for rigorous clinical trials by using distributed technological solutions that eliminate the need for a physical trial site. This report explores potential benefits of using virtual reality (VR) to provide a “virtual site” for VCTs, a shared immersive hub in which VCT participants could experience ...
openaire   +4 more sources

Modeling and Accessing Smart Materials with Integrity Constraints in the Shapes Constraint Language and Ontologies—The SmaDi Way

Advanced Engineering Materials, EarlyView.
Integrity constraints enforce consistency and completeness on data. The article discusses a newly developed validator for checking integrity constraints in Shapes Constraint Language (SHACL) through reduction to SPARQL Protocol and RDF Query Language (SPARQL) queries. It can be used with systems for ontology‐based database access.
Özgür L. Özçep, Mena Leemhuis, Maximilian Winkler, Robert Courant, Thomas Sattel, Jürgen Maas   +5 more
wiley   +1 more source

Concepts for a Semantically Accessible Materials Data Space: Overview over Specific Implementations in Materials Science

Advanced Engineering Materials, EarlyView.
This manuscript presents advances in digital transformation within materials science and engineering, emphasizing the role of the MaterialDigital Initiative. By testing and applying concepts such as ontologies, knowledge graphs, and integrated workflows, it promotes semantic interoperability and data‐driven innovation. The article reviews collaborative
Bernd Bayerlein, Jörg Waitelonis, Henk Birkholz, Matthias Jung, Markus Schilling, Philipp v. Hartrott, Marian Bruns, Jörg Schaarschmidt, Kristian Beilke, Marcel Mutz, Vincent Nebel, Veit Königer, Lisa Beran, Tobias Kraus, Akhilesh Vyas, Lars Vogt, Moritz Blum, Basil Ell, Ya‐Fan Chen, Tina Waurischk, Akhil Thomas, Ali Riza Durmaz, Sahar Ben Hassine, Carina Fresemann, Gordian Dziwis, Hossein Beygi Nasrabadi, Thomas Hanke, Melissa Telong, Stephan Pirskawetz, Mohamed Kamal, Thomas Bjarsch, Ursula Pähler, Peter Hofmann, Mena Leemhuis, Özgür L. Özçep, Lars‐Peter Meyer, Birgit Skrotzki, Jörg Neugebauer, Wolfgang Wenzel, Harald Sack, Chris Eberl, Pedro Dolabella Portella, Tilmann Hickel, Lutz Mädler, Peter Gumbsch   +44 more
wiley   +1 more source

Breakthrough Solution for Antimicrobial Resistance Detection: Surface‐Enhanced Raman Spectroscopy‐based on Artificial Intelligence

Advanced Materials Interfaces, EarlyView., 2023
This review discusses the use of Surface‐Enhanced Raman Spectroscopy (SERS) combined with Artificial Intelligence (AI) for detecting antimicrobial resistance (AMR). Various SERS studies used with AI techniques, including machine learning and deep learning, are analyzed for their advantages and limitations.
Zakarya Al‐Shaebi, Munevver Akdeniz, Awel Olsido Ahmed, Mine Altunbek, Omer Aydin   +4 more
wiley   +1 more source

Development and Validation of a One‐Dimensional Finite Difference Simulation Scheme for Polymer Laser Powder Bed Fusion with Application to the Effect of the Inter Layer Time

Advanced Engineering Materials, EarlyView.
The study presents an efficient simulation approach for the polymer laser powder bed fusion process polymers process, validated with polyamide 12, polyamide 6, and polyetherketoneketone. It shows that inter layer time affects part density, with 90s yielding dense parts.
Claas Bierwisch, Bastien Dietemann, Moritz Grünewald, Christian Schlör, Johannes Rudloff   +4 more
wiley   +1 more source

An Ontology‐Augmented Digital Twin for Fiber‐Reinforced Polymer Structures at the Example of Wind Turbine Rotor Blades

Advanced Engineering Materials, EarlyView.
A methodology for establishing an ontology‐augmented structural digital twin for fiber‐reinforced polymer structures dedicated to individual lifetime prediction, in this case, a wind turbine rotor blade, is introduced. The methodology resembles the manufacturing as well as the operation of the structure.
Marc Luger, Alexander Seidel, Ursula Pähler, Sebastian Schröck, Peter Hofmann, Sebastian Kölbl, Klaus Drechsler   +6 more
wiley   +1 more source

Semantic Orchestration and Exploitation of Material Data: A Dataspace Solution Demonstrated on Steel and Copper Applications

Advanced Engineering Materials, EarlyView.
This article introduces the Dataspace Management System (DSMS), a methodological framework realized in software, designed as a technology stack to power dataspaces with a focus on advanced knowledge management in materials science and manufacturing. DSMS leverages heterogeneous data through semantic integration, linkage, and visualization, aligned with
Yoav Nahshon, Lukas Morand, Matthias Büschelberger, Dirk Helm, Kiran Kumaraswamy, Paul Zierep, Matthias Weber, Pablo de Andrés   +7 more
wiley   +1 more source

Seamless Science: Lifting Experimental Mechanical Testing Lab Data to an Interoperable Semantic Representation

Advanced Engineering Materials, EarlyView.
In pursuit of modern data management techniques, this study presents an in‐lab pipeline combining electronic laboratory notebooks (eLabFTW) and Python scripts for creating semantically enriched, interoperable, machine‐actionable data. Automating data mapping enhances usability, collaboration, and unified knowledge representation.
Markus Schilling, Sebastian Bruns, Bernd Bayerlein, Jehona Kryeziu, Jörg Schaarschmidt, Jörg Waitelonis, Pedro Dolabella Portella, Karsten Durst   +7 more
wiley   +1 more source

Ontology‐Based Digital Infrastructure for Data‐Driven Glass Development

Advanced Engineering Materials, EarlyView.
This work addresses the inefficiencies in traditional glass development by implementing an ontology‐based digital infrastructure coupled with a high‐throughput robotic melting system. The approach integrates machine learning models, predictive tools, and a semantic database.
Ya‐Fan Chen, Felix Arendt, Hansjörg Bornhöft, Andréa S. S. de Camargo, Joachim Deubener, Andreas Diegeler, Shravya Gogula, Altair T. Contreras Jaimes, Sebastian Kempf, Martin Kilo, René Limbach, Ralf Müller, Rick Niebergall, Zhiwen Pan, Frank Puppe, Stefan Reinsch, Gerhard Schottner, Simon Stier, Tina Waurischk, Lothar Wondraczek, Marek Sierka   +20 more
wiley   +1 more source