Results 211 to 220 of about 5,432,324 (400)

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

Library & Information Science Research

open access: yes, 2013
A brief introduction to the quarterly periodical, Library & Information Science Research (LISR) providing an overview of the scope of the publication. The current paper details the types of articles published in the journal and gives a general overview of the review process for articles published in the journal, concluding with a brief statement of the
openaire   +2 more sources

Semantic Representation of Low‐Cycle‐Fatigue Testing Data Using a Fatigue Test Ontology and ckan.kupferdigital Data Management System

open access: yesAdvanced Engineering Materials, EarlyView.
This article introduces an automated approach for converting the raw research data (use case of low‐cycle‐fatigue testing dataset) to machine‐readable resource description framework ones and storing them in an open digital repository. As two main prerequisites for this data digitalization process, the development of fatigue testing ontology and ckan ...
Hossein Beygi Nasrabadi   +2 more
wiley   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

open access: yesAdvanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani   +2 more
wiley   +1 more source

An Automatized Simulation Workflow for Powder Pressing Simulations Using SimStack

open access: yesAdvanced Engineering Materials, EarlyView.
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

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