Results 131 to 140 of about 1,076,774 (282)
arXivThis paper argues that large language models have a valuable scientific role to play in serving as scientific models of a language. Linguistic study should not only be concerned with the cognitive processes behind linguistic competence, but also with language understood as an external, social entity. Once this is recognized, the value of large language
arxiv
An Automatized Simulation Workflow for Powder Pressing Simulations Using SimStack
Advanced Engineering Materials, Volume 27, Issue 8, April 2025.The implementation of Workflow active Nodes (WaNos) for the convenient execution and automated evaluation of discrete element method calculations of powder pressing is showcased. Purposeful combination of WaNos creates timesaving and resource‐effective computational workflows.
Bjoern Mieller +2 more
wiley +1 more source
Advanced Engineering Materials, Volume 27, Issue 8, April 2025.In this study, OpenPhase software is used to simulate low‐carbon bainitic steels. The lower holding temperature sample exhibits smaller and finer grains. Grain thickness measurements of bainitic ferrite from simulations align with the experimental observations at high temperature. Bainitic steels are extensively utilized across various sectors, such as
Dhanunjaya K. Nerella +7 more
wiley +1 more source
Advanced Engineering Materials, Volume 27, Issue 8, April 2025.Multilayer ferrite inductor prototypes are fabricated by cofiring metallized tapes of NiCuZn ferrite and glass‐ceramic composite. Prerequisites for a predictive component simulation are discussed. An automated data‐pipeline stores and semantically links the experimental data acquired in the study according to a domain ontology.
Björn Mieller +8 more
wiley +1 more source
Advanced Engineering Materials, Volume 27, Issue 8, April 2025.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 +44 more
wiley +1 more source
Introductory Computer Science Course by Adopting Many Programming Languages
, 2021 Francisco de Assis Zampirolli +5 more
openalex +2 more sources
Electrospinning Technology, Machine Learning, and Control Approaches: A Review
Advanced Engineering Materials, Volume 27, Issue 7, April 2025.Electrospinning produces micro‐ and nanoscale fibers, holding great promise in biomedical engineering. Industrial adoption faces challenges in controlling fiber properties, reproducibility, and scalability. This review explores electrospinning techniques, modeling, and machine learning for process optimization.
Arya Shabani +5 more
wiley +1 more source
Advanced Engineering Materials, Volume 27, Issue 8, April 2025.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 +6 more
wiley +1 more source
Advanced Engineering Materials, Volume 27, Issue 8, April 2025.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 +7 more
wiley +1 more source