Data-Enabled Discovery and Design of Energy Materials (D 3 EM): Structure of An Interdisciplinary Materials Design Gradu
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Data-Enabled Discovery and Design of Energy Materials (D3EM): Structure of An Interdisciplinary Materials Design Graduate Program Chi-Ning Chang1, Brandie Semma1, Marta Lynn Pardo1, Debra Fowler1, 2, Patrick Shamberger3, Raymundo Arroyave3, 4 1 Department of Educational Psychology, 2Center for Teach Excellence, 3Department of Materials Science and Engineering, 4Department of Mechanical Engineering, Texas A&M University, College Station, TX 77843 ABSTRACT The Materials Genome Initiative (MGI) calls for the acceleration of the materials development cycle through the integration of experiments and simulations within a dataaware/enabling framework. To realize this vision, MGI recognizes the need for the creation of a new kind of workforce capable of creating and/or deploying advanced informatics tools and methods into the materials discovery/development cycle. An interdisciplinary team at Texas A&M seeks to address this challenge by creating an interdisciplinary program that goes beyond MGI in that it incorporates the discipline of engineering systems design as an essential component of the new accelerated materials development paradigm. The Data-Enabled Discovery and Development of Energy Materials (D3EM) program seeks to create an interdisciplinary graduate program at the intersection of materials science, informatics, and design. In this paper, we describe the rationale for the creation of such a program, present the pedagogical model that forms the basis of the program, and describe some of the major elements of the program. INTRODUCTION Due to their importance as technology enablers, advanced materials are a critical component of the many technologies capable of solving overarching engineering/technical challenges that we currently face. On the other hand, the absence of materials with specific desired properties makes the deployment of potentially transformative technologies impossible. Unfortunately, the materials development cycle is often much slower than the timeframe over which technologies at the system level are developed. Recognizing this, the Office of Science and Technology Policy of the White House released the Materials Genome Initiative (MGI) in 2011 [1], which states the premise that the traditional materials development cycle––Edisonian in nature––is not the most optimal approach to address the lack of technology-enabling materials. Instead, the MGI proposes the synergistic combination of experiments and simulations within an informatics framework as a powerful strategy to accelerate the discovery and development of materials. The aspirational goals espoused by the MGI require significant workforce development as the next generation of scientists/engineers should be able to create and deploy tools capable of connecting materials data to better-informed materials synthesis and computational analysis, and employ engineering design strategies for the goal-oriented development of materials. Unfortunately, current materials scientists––including those presently being trained at universities around the na
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