Structural Materials Data Demonstration Project: Resource for Thermal Process Modeling Scott Henry, Larry Berardinis ASM International Carelyn Campbell, Alden Dima, Ursula Kattner National Institute of Standards and Technology Tom Searles Materials Data Management, Inc. Laura Bartolo Kent State University Center for Materials Informatics Warren Hunt Nexight Group Abstract Integrated Computational Materials Engineering requires the availability of supporting data for modeling across multiple length scales. It also requires robust data schema and input- output protocols. To address these needs, a team working under a grant from the National Institute of Standards and Technology has launched the Structural Materials Data Demonstration Project, a collaborative effort led by ASM International to establish best practices for materials database development and application. In its initial phase, the project is focusing on the heat treatable aluminum 6061 alloy and ternary subsystem of Al-Mg-Si, incorporating experimental diffusion, phase equilibria, microstructural, and mechanical property data. This paper outlines the purpose and scope of the project and discusses challenges in materials data management and organization. It also describes a test problem in which demonstration data can be used to model the effects of composition and heat treatment on various properties of aluminum 6061-T6. Introduction The field of materials science and engineering is changing dramatically, driven by increasing computational capability, more efficient experimental approaches, and an explosion of data through enhanced sensor and acquisition technologies. In recognition of this transformation and to help speed it along, the Materials Genome Initiative (MGI) was launched in 2011 with the goal of discovering, developing, and deploying advanced materials in half the time and at a fraction of the cost typically required today. 1 Figure 1 provides a graphical overview of the Materials Genome Initiative. The foundational element is the materials innovation infrastructure, consisting of computational tools, experimental tools, and digital data. These resources are being developed and employed in support of national goals in such areas as clean energy, national security, human welfare, and equipping the next generation workforce for prosperity and success. Figure 1: The Materials Genome Initiative, a large-scale public-private endeavor, seeks to accelerate the discovery and commercialization of new materials through mass collaboration, data sharing, and the development of advanced experimental and computational tools. As envisioned by the National Science and Technology Council, the goal of the MGI is to increase national competitiveness, particularly in the area of manufacturing, while addressing some of the nation’s most pressing concerns. (Source: Ref. 1)