Uncovering compounds by synergy of cluster expansion and high-throughput methods.

dc.contributor.author

Levy, Ohad

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Hart, Gus LW

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Curtarolo, Stefano

dc.coverage.spatial

United States

dc.date.accessioned

2011-06-21T17:26:25Z

dc.date.issued

2010-04-07

dc.description.abstract

Predicting from first-principles calculations whether mixed metallic elements phase-separate or form ordered structures is a major challenge of current materials research. It can be partially addressed in cases where experiments suggest the underlying lattice is conserved, using cluster expansion (CE) and a variety of exhaustive evaluation or genetic search algorithms. Evolutionary algorithms have been recently introduced to search for stable off-lattice structures at fixed mixture compositions. The general off-lattice problem is still unsolved. We present an integrated approach of CE and high-throughput ab initio calculations (HT) applicable to the full range of compositions in binary systems where the constituent elements or the intermediate ordered structures have different lattice types. The HT method replaces the search algorithms by direct calculation of a moderate number of naturally occurring prototypes representing all crystal systems and guides CE calculations of derivative structures. This synergy achieves the precision of the CE and the guiding strengths of the HT. Its application to poorly characterized binary Hf systems, believed to be phase-separating, defines three classes of alloys where CE and HT complement each other to uncover new ordered structures.

dc.description.version

Version of Record

dc.identifier

http://www.ncbi.nlm.nih.gov/pubmed/20218599

dc.identifier.eissn

1520-5126

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https://hdl.handle.net/10161/4053

dc.language

eng

dc.language.iso

en_US

dc.publisher

American Chemical Society (ACS)

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J Am Chem Soc

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10.1021/ja9105623

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Journal of the American Chemical Society

dc.title

Uncovering compounds by synergy of cluster expansion and high-throughput methods.

dc.title.alternative
dc.type

Journal article

duke.date.pubdate

2010-4-7

duke.description.issue

13

duke.description.volume

132

pubs.author-url

http://www.ncbi.nlm.nih.gov/pubmed/20218599

pubs.begin-page

4830

pubs.end-page

4833

pubs.issue

13

pubs.organisational-group

Chemistry

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Duke

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Electrical and Computer Engineering

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Mechanical Engineering and Materials Science

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Physics

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Pratt School of Engineering

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Trinity College of Arts & Sciences

pubs.publication-status

Published

pubs.volume

132

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