265
Views
1
CrossRef citations to date
0
Altmetric
Articles

Application of grand-canonical ensemble Monte Carlo simulation in metals using cavity-biased method

, &
Pages 736-742 | Received 10 Feb 2020, Accepted 26 Apr 2020, Published online: 19 May 2020
 

ABSTRACT

A critic issue of the application of the conventional grand-canonical Monte Carlo (GCMC) method in high-density systems is the low acceptance ratio of insertion. Previous studies have revealed that this can be overcome by the cavity-biased (CB) insertion method in simulations of vapours, fluids and liquids. Here, we demonstrate that the method is also highly efficient in metals. Using the Fe–H system as an example, we find that the acceptance ratio of inserting H into Fe lattice is increased by several times using the CB GCMC method. The method is more valid than the conventional one at bulk H concentration over 5‰, implying that the CB GCMC method is highly efficient when there are deep traps for H in simulation systems, i.e. dislocations and interfaces. Application of the method in nanocrystalline Fe shows that the CPU time required for obtaining an equilibrium distribution of H is reduced by 60%.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by National Natural Science Foundation of China: [Grant Number 51271122].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 827.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.