Fulfilling the promise of the materials genome initiative with high-throughput experimental methodologies
Autor: | J. Van Duren, John M. Gregoire, S. Empedocles, Jason R. Hattrick-Simpers, Joshua Martin, Kristin A. Persson, Martin L. Green, A. M. Joshi, Andriy Zakutayev, S. C. Barron, Ichiro Takeuchi, C. L. Choi, Eva M. Campo, T. Chiang, Aaron Gilad Kusne, Apurva Mehta, Zachary T. Trautt |
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Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
Computer science
Materials informatics General Physics and Astronomy Experimental data 02 engineering and technology 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences Genome 0104 chemical sciences Characterization (materials science) Computational simulation Major conclusion Systems engineering Lower cost 0210 nano-technology Throughput (business) |
Popis: | The Materials Genome Initiative, a national effort to introduce new materials into the market faster and at lower cost, has made significant progress in computational simulation and modeling of materials. To build on this progress, a large amount of experimental data for validating these models, and informing more sophisticated ones, will be required. High-throughput experimentation generates large volumes of experimental data using combinatorial materials synthesis and rapid measurement techniques, making it an ideal experimental complement to bring the Materials Genome Initiative vision to fruition. This paper reviews the state-of-the-art results, opportunities, and challenges in high-throughput experimentation for materials design. A major conclusion is that an effort to deploy a federated network of high-throughput experimental (synthesis and characterization) tools, which are integrated with a modern materials data infrastructure, is needed. |
Databáze: | OpenAIRE |
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