Results 71 to 80 of about 41,655,511 (287)
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Action semantics for defining dynamic semantics of modeling languages [PDF]
Most languages in Model Driven Engineering (MDE) are defined by metamodels. Metamodels specify the structural aspects of models but do not capture the computational meaning of the modeling constructs (the dynamic semantics).
Ivanov, Ivan +3 more
core +1 more source
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ +19 more
wiley +1 more source
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
wiley +1 more source
During quasi-stationary tensile deformation of ultrafine-grained Cu-0.2 mass%Zr at 673 K and a deformation rate of about 10−4 s−1 load changes were performed.
Wolfgang Blum +4 more
doaj +1 more source
Toward Full Interoperability in Materials Science: Integrating Workflows With Knowledge Graphs
The connection of conceptual workflow design, portable execution, and ontology‐based semantics leading to provenance‐rich knowledge graphs are main contributors to interoperability in materials science and a prerequisite to AI‐assisted orchestration and for interoperable Materials Acceleration Platforms.
Jan Janssen +14 more
wiley +1 more source
Supporting AI Readiness Through Digital Workflows in Materials Science
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns +67 more
wiley +1 more source
The Semantics of Abstract Program Slicing [PDF]
The present paper introduces the semantic basis for abstract slicing. This notion is more general than standard, concrete slicing, in that slicing criteria are abstract, i.e., defined on properties of data, rather than concrete values.
Damiano Zanardini, Zanardini, Damiano
core +1 more source
Ontological learning for a dynamic semantics ontological framework
En este trabajo se propone una arquitectura de Aprendizaje Onto lógico, que es uno de los componentes claves del Marco Ontológi co Dinámico Semántico (MODS) para la Web Semántica.
Taniana Rodríguez, José Aguilar
doaj
Phraseologisms with Intensifying Semantics in Russian: Dynamic Aspect
The relevance of the study of the discharge of stable units with intensifying semantics, indicating the intensity of the manifestation of a sign or the course of an action, as well as the study of phraseologisms formed according to the model “up to ...
Elena I. Zinovieva +2 more
doaj +1 more source

