Published July 1, 2015 | Version Published + Supplemental Material
Journal Article Open

Prediction of the material with highest known melting point from ab initio molecular dynamics calculations

  • 1. ROR icon Brown University
  • 2. ROR icon California Institute of Technology

Abstract

Using electronic structure calculations, we conduct an extensive investigation into the Hf-Ta-C system, which includes the compounds that have the highest melting points known to date. We identify three major chemical factors that contribute to the high melting temperatures. Based on these factors, we propose a class of materials that may possess even higher melting temperatures and explore it via efficient ab initio molecular dynamics calculations in order to identify the composition maximizing the melting point. This study demonstrates the feasibility of automated and high-throughput materials screening and discovery via ab initio calculations for the optimization of "higher-level" properties, such as melting points, whose determination requires extensive sampling of atomic configuration space.

Additional Information

©2015 American Physical Society. (Received 12 March 2015; revised manuscript received 20 June 2015; published 20 July 2015) This research was supported by the US Office of Naval Research under Grants N00014-12-1-0196 and N00014-14-1-0055 and by Brown University through the use of the facilities at its Center for Computation and Visualization. This work uses the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation Grant No. ACI-1053575. The authors would like to thank Alexandra Navrotsky, Christopher Wolverton, and Amit Samanta for useful comments.

Attached Files

Published - PhysRevB.92.020104.pdf

Supplemental Material - SM_Hong_LC15407BR.pdf

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PhysRevB.92.020104.pdf

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Additional details

Identifiers

Eprint ID
59499
Resolver ID
CaltechAUTHORS:20150813-132259075

Funding

Office of Naval Research (ONR)
N00014-12-1-0196
Office of Naval Research (ONR)
N00014-14-1-0055
Brown University
NSF
ACI-1053575

Dates

Created
2015-08-13
Created from EPrint's datestamp field
Updated
2023-01-19
Created from EPrint's last_modified field