Results 181 to 190 of about 997,064 (331)

Performance Evaluation of Upper‐Level Ontologies in Developing Materials Science Ontologies and Knowledge Graphs

open access: yesAdvanced Engineering Materials, EarlyView.
This article provides examples of ontology development in the materials science domain (use‐case of Brinell hardness testing) and gives ontology developers an overview for selecting their desired top‐level ontologies (e.g., BFO, EMMO, PROVO) by considering different evaluation parameters like semantic richness, domain coverage, extensibility ...
Hossein Beygi Nasrabadi   +3 more
wiley   +1 more source

Using optimistic atomic broadcast in transaction processing systems [PDF]

open access: green, 2003
Bettina Kemme   +4 more
openalex   +1 more source

Impact of Iron Contamination on Liquid Properties and Microstructural Evolution in AlSi20

open access: yesAdvanced Engineering Materials, EarlyView.
Recycled aluminum is much more energy conservative and sustainable than primary aluminum. However, the iron contamination in secondary aluminum is vastly responsible for the degradation of the material properties. Herein, it is aimed to evaluate the influence of iron contamination in hypereutectic Al–Si alloy through thermodynamic as well as ...
Layla Shams Tisha   +2 more
wiley   +1 more source

Influence of Cooling Rate on Primary Silicon Size in Hypereutectic Al–Si Alloy Fabricated by Laser Powder Bed Fusion

open access: yesAdvanced Engineering Materials, EarlyView.
Al–Si alloys are particularly in demand for automotive and electronic applications, thanks to their excellent wear and thermal properties. Nevertheless, when processed by conventional methods with low cooling rates, the coarse primary Si phases are responsible for increasing brittleness and inducing crack propagation.
Layla Shams Tisha   +3 more
wiley   +1 more source

Ontology‐Based Digital Infrastructure for Data‐Driven Glass Development

open access: yesAdvanced 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   +20 more
wiley   +1 more source

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