Models, databases, and simulation tools needed for the by S M Arnold; Terry T Wong; ASM International. Materials

By S M Arnold; Terry T Wong; ASM International. Materials Properties Database Committee

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Extra info for Models, databases, and simulation tools needed for the realization of integrated computational materials engineering : proceedings of the symposium held at materials science & technology 2010, October 18-20, 2010 Houston, Texas, USA

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37 Models, Databases, and Simulation Tools Needed for the Realization of Integrated Computational Materials Engineering Proceedings of the Symposium Held at MS&T'10 October 18–20, 2010, Houston, Texas, USA Copyright © 2011 ASM International®. All rights reserved. M. T. Wong, editors THE FOUR FOUNDATIONAL GROUPS REQUIRED FOR A SUCCESSFUL ICME APPROACH G. Spanos The Minerals, Metals & Materials Society ABSTRACT This article briefly outlines some of the roles of four foundational groups in fostering rapid growth and implementation of Integrated Computational Materials Engineering (ICME).

Catia™, Ansys™, MatLab™, Excel™, and ASCII files. For programs that don’t have pre-built interfaces, the user must create the interface which typically requires expertise with a scripting language such as TCL to establish the program interface. Unfortunately, many ICME models will require such interfacing scripts, but the script only needs to be written once and can be shared. Despite the power and importance of system integration software to build the ultimate ICME system, it is important to address how much emphasis should be given the selection and deployment of this capability in the early stages of ICME exploration within industry.

The paradigm of materials discovery is more common in the sciences, as well as computing and information systems, for example the NSF Cyber-Enabled Discovery and Innovation (CDI) initiative [12]. Traditionally, the engineering domain has been more oriented more towards materials selection [1], and therefore has relied less on computational modeling and simulation than is required by materials discovery. More systematic approaches to mining databases and combinatorial experiments with informatics [13] can enhance the materials selection process or the rate of discovery of new materials, as well as knowledge discovery.

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