Journal
MRS BULLETIN
Volume 43, Issue 9, Pages 683-689Publisher
CAMBRIDGE UNIV PRESS
DOI: 10.1557/mrs.2018.204
Keywords
combinatorial synthesis; crystallographic structure; simulation
Funding
- US Department of Commerce, National Institute of Standards and Technology, Center for Hierarchical Material Design (CHiMaD) [70NANB14H012]
- National Science Foundation, Midwest Big Data Hub under NSF Award [1636950]
- US Department of Energy [DE-AC02-06CH11357]
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Ongoing, rapid innovations in fields ranging from microelectronics, aerospace, and automotive to defense, energy, and health demand new advanced materials at even greater rates and lower costs. Traditional materials R&D methods offer few paths to achieve both outcomes simultaneously. Materials informatics, while a nascent field, offers such a promise through screening, growing databases of materials for new applications, learning new relationships from existing data resources, and building fast predictive models. We highlight key materials informatics successes from the atomic-scale modeling community, and discuss the ecosystem of open data, software, services, and infrastructure that have led to broad adoption of materials informatics approaches. We then examine emerging opportunities for informatics in materials science and describe an ideal data ecosystem capable of supporting similar widespread adoption of materials informatics, which we believe will enable the faster design of materials.
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