Results 141 to 150 of about 1,076,774 (282)

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

Advanced Engineering Materials, Volume 27, Issue 8, April 2025.
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, Volume 27, Issue 8, April 2025.
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

Difficulty aware programming knowledge tracing via large language models. [PDF]

Sci Rep
Yang L, Sun X, Li H, Xu R, Wei X.
europepmc   +1 more source

Combining Structured Data with Domain Knowledge in Battery Materials Research: The Case of Conductive Networks

Advanced Engineering Materials, Volume 27, Issue 8, April 2025.
The combination of battery product and characterization ontology (BPCO) and domain knowledge guides hypotheses development and leads to new insights into material–property relationship of battery materials. The use of “intermediate data” is introduced as a concept, and examples are shown on its use to analyze the agglomeration of carbon black and its ...
Lisa Beran, Tobias Valentin Knapp, Albenc Nexha, Makara Lay, Bart‐Jan Niebuur, Tobias Kraus   +5 more
wiley   +1 more source

Learner stimulus intent: a framework for eye tracking data collection and feature extraction in computer programming education. [PDF]

Sci Rep
Chandrika KR, Amudha J.
europepmc   +1 more source

StahlDigital: Ontology‐Based Workflows for the Steel Industry

Advanced Engineering Materials, Volume 27, Issue 8, April 2025.
The strength of the steel industry is based on the mastery of microstructure–property relationships. Digital workflows contribute to this aim by making the complexity of workflows reproducible and their execution user independent. The tools and workflows developed in the project StahlDigital as part of the German MaterialDigital initiative are ...
Franz Roters, Ahmed Aslam, Yang Bai, Matthias Büschelberger, Kirill Bulert, Alexander Butz, Tilmann Hickel, Tushar Jogi, Silke Klitschke, Michael Martin, Lars‐Peter Meyer, Lukas Morand, Yoav Nahshon, Norman Radtke, Ujjal Saikia, Andreas Trondl, Alexander Wessel, Paul Zierep, Dirk Helm   +18 more
wiley   +1 more source

Comparing Large Language Models and Human Programmers for Generating Programming Code. [PDF]

Adv Sci (Weinh)
Hou W, Ji Z.
europepmc   +1 more source

The Use of programming languages and computer software in psychological science

, 2014
Nelson Torro Alves, Bernardino Fernández‐Calvo, J. Antonio Aznar-Casanova, Armindo de Arruda Campos Neto, Natanael Antônio dos Santos   +4 more
openalex   +1 more source

Advancing Digital Transformation in Material Science: The Role of Workflows Within the MaterialDigital Initiative

Advanced Engineering Materials, Volume 27, Issue 8, April 2025.
The MaterialDigital initiative drives the digital transformation of material science by promoting findable, accessible, interoperable, and reusable principles and enhancing data interoperability. This article explores the role of scientific workflows, highlights challenges in their adoption, and introduces the Workflow Store as a key tool for sharing ...
Simon Bekemeier, Celso Ricardo Caldeira Rêgo, Han Lin Mai, Ujjal Saikia, Osamu Waseda, Markus Apel, Felix Arendt, Alexander Aschemann, Bernd Bayerlein, Robert Courant, Gordian Dziwis, Florian Fuchs, Ulrich Giese, Kurt Junghanns, Mohamed Kamal, Lukas Koschmieder, Sebastian Leineweber, Marc Luger, Marco Lukas, Jürgen Maas, Jana Mertens, Björn Mieller, Ludger Overmeyer, Norbert Pirch, Jan Reimann, Sebastian Schröck, Philipp Schulze, Jörg Schuster, Alexander Seidel, Oleg Shchyglo, Marek Sierka, Frank Silze, Simon Stier, Marvin Tegeler, Jörg F. Unger, Matthias Weber, Tilmann Hickel, Jörg Schaarschmidt   +37 more
wiley   +1 more source

Energy efficiency in ROS communication: a comparison across programming languages and workloads. [PDF]

Front Robot AI
Albonico M, Cannizza MB, Wortmann A.
europepmc   +1 more source