Prediction of the material with highest known melting point from ab initio molecular dynamics calculations
- Creators
-
Hong, Qi-Jun
-
van de Walle, Axel
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
Files
Name | Size | Download all |
---|---|---|
md5:9df05b8f54312082f9c601b25ef315b2
|
769.9 kB | Preview Download |
md5:1a460a6d281d70f3f440298e4dccf931
|
775.0 kB | Preview Download |
Additional details
- Eprint ID
- 59499
- Resolver ID
- CaltechAUTHORS:20150813-132259075
- Office of Naval Research (ONR)
- N00014-12-1-0196
- Office of Naval Research (ONR)
- N00014-14-1-0055
- Brown University
- NSF
- ACI-1053575
- Created
-
2015-08-13Created from EPrint's datestamp field
- Updated
-
2023-01-19Created from EPrint's last_modified field