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Integrated computational materials engineering(ICME): advancing computational and experimental methods

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Integrated computational materials engineering(ICME): advancing computational and experimental methods

Date_TXT
USA: Springer,2020

Auteur
Somnath ghosh, Christopher Woodward
Sujet
Data structures and workflows for ICME; Integrated Computational Materials Engineering; Multi-scale Microstructure and Property-Based Statistically.
Type de document
Livre

Description :

Integrated computational materials engineering (ICME) represents a grand challenge within materials research and development. Effective ICME involves coupling materials characterization and experimentation with simulation tools to produce a holistic understanding of the materials system, promising to accelerate the materials
development enterprise. Under the Center of Excellence on Integrated Materials
Modeling (CEIMM), significant strides were made in developing state-of-the-art
experimental methods and simulation techniques for interrogating material structure
and behavior across multiple scales. In parallel to these method developments,
several advances were made in designing data structures and workflow tools that
possess the required flexibility and extensibility to operate on the data produced
by such advanced methods. Such software tools are a critical enabling component
for effective ICME; the National Academy of Sciences noted cyberinfrastructure
as a crucial factor for ICME, to include databases, software, and computational
hardware [1]. Additionally, these tools enable workflows that properly integrate
models and experimentation at each stage of the materials development lifecycle.
Figure 1 schematically shows such a workflow for optimization of microstructure
and properties in a titanium forging.

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