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Density functional theory (DFT)-based modified embedded atom method potentials: Bridging the gap between nanoscale theoretical simulations and DFT calculations

  • Fan Yang
  • , Yu Wen Liu
  • , Li Hui Ou
  • , Xin Wang
  • , Sheng Li Chen

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

A density functional theory (DFT)-calculation scheme for constructing the modified embedded atom method (MEAM) potentials for face-centered cubic (fcc) metals is presented. The input quantities are carefully selected and a more reliable DFT approach for surface energy determination is introduced in the parameterization scheme, enabling MEAM to precisely predict the surface and nanoscale properties of metallic materials. Molecular dynamics simulations on Pt and Au crystals show that the parameterization employed leads to significantly improved accuracy of MEAM in calculating the surface and nanoscale properties, with the results agreeing well with both DFT calculations and experimental observations. The present study implies that rational DFT parameterization of MEAM may lead to a theoretical tool to bridge the gap between nanoscale theoretical simulations and DFT calculations. © Science China Press and Springer-Verlag Berlin Heidelberg 2010.
Original languageEnglish
Pages (from-to)411-418
JournalScience China Chemistry
Volume53
Issue number2
DOIs
Publication statusPublished - Feb 2010
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

This work was supported by the National Natural Science Foundation of China (Grant Nos. 20973131, 50632050), and the Education Ministry of China under the program for New Century Excellent Talents in Universities of China (NCET-06-0612).

Research Keywords

  • DFT
  • MEAM
  • Nanoparticles
  • Parameterization
  • Theoretical simulations

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