Complex modeling for the quantification of nanoscale disorder using genetic algorithms, density functional theory and line‐profile analysis. Issue 4 (30th July 2020)
- Record Type:
- Journal Article
- Title:
- Complex modeling for the quantification of nanoscale disorder using genetic algorithms, density functional theory and line‐profile analysis. Issue 4 (30th July 2020)
- Main Title:
- Complex modeling for the quantification of nanoscale disorder using genetic algorithms, density functional theory and line‐profile analysis
- Authors:
- Koch, Robert J.
Li, Guangfang
Pandey, Shubham
Phillpot, Simon R.
Wang, Hui
Misture, Scott T. - Abstract:
- Abstract : Complex modeling is used for local and average atomic structure, nanostructure and microstructure quantification of an Au0.25 Cu0.75 alloy. This approach is generalizable and should be extensible to other disordered systems, allowing for quantification of localized structure deviations. Abstract : A new, computationally efficient, complex modeling approach is presented for the quantification of the local and average atomic structure, nanostructure and microstructure of an Au0.25 Cu0.75 alloy. High‐resolution X‐ray powder diffraction and whole pattern fitting show that the sample is phase pure, with isotropic lattice strain and a distribution of equiaxed crystallites of mean size 144 (11) nm, where each crystallite has on average four twin boundaries and an average of three deformation faults per four crystallites. Both small‐ and large‐box model optimizations were used to extract local and long‐range information from the pair distribution function. The large‐box, 640 000‐atom‐ensemble optimization approach applied herein relies on differential evolution optimization and shows that the alloy has chemical short‐range ordering, with correlation parameters of −0.26 (2) and 0.36 (8) in the first and second correlation shells, respectively. Locally, there is a 1.45 (8)% tetragonal distortion which on average results in a cubic atomic structure. The isotropic lattice strain is a result of atom‐pair‐dependent bond lengths, following the trend d Au—Au > d Au—Cu > d Cu—Cu,Abstract : Complex modeling is used for local and average atomic structure, nanostructure and microstructure quantification of an Au0.25 Cu0.75 alloy. This approach is generalizable and should be extensible to other disordered systems, allowing for quantification of localized structure deviations. Abstract : A new, computationally efficient, complex modeling approach is presented for the quantification of the local and average atomic structure, nanostructure and microstructure of an Au0.25 Cu0.75 alloy. High‐resolution X‐ray powder diffraction and whole pattern fitting show that the sample is phase pure, with isotropic lattice strain and a distribution of equiaxed crystallites of mean size 144 (11) nm, where each crystallite has on average four twin boundaries and an average of three deformation faults per four crystallites. Both small‐ and large‐box model optimizations were used to extract local and long‐range information from the pair distribution function. The large‐box, 640 000‐atom‐ensemble optimization approach applied herein relies on differential evolution optimization and shows that the alloy has chemical short‐range ordering, with correlation parameters of −0.26 (2) and 0.36 (8) in the first and second correlation shells, respectively. Locally, there is a 1.45 (8)% tetragonal distortion which on average results in a cubic atomic structure. The isotropic lattice strain is a result of atom‐pair‐dependent bond lengths, following the trend d Au—Au > d Au—Cu > d Cu—Cu, highlighted by density functional theory calculations. This approach is generalizable and should be extensible to other disordered systems, allowing for quantification of localized structure deviations. … (more)
- Is Part Of:
- Journal of applied crystallography. Volume 53:Issue 4(2020)
- Journal:
- Journal of applied crystallography
- Issue:
- Volume 53:Issue 4(2020)
- Issue Display:
- Volume 53, Issue 4 (2020)
- Year:
- 2020
- Volume:
- 53
- Issue:
- 4
- Issue Sort Value:
- 2020-0053-0004-0000
- Page Start:
- 1087
- Page End:
- 1100
- Publication Date:
- 2020-07-30
- Subjects:
- chemical short‐range order -- differential evolution -- alloys -- pair distribution function -- PDF -- genetic algorithms -- high‐resolution powder diffraction -- density functional theory
Crystallography -- Periodicals
548.05 - Journal URLs:
- http://firstsearch.oclc.org ↗
http://journals.iucr.org/j/journalhomepage.html ↗
http://www-us.ebsco.com/online/direct.asp?JournalID=105188 ↗
http://www.blackwell-synergy.com/loi/jcr ↗
http://www.blackwell-synergy.com/servlet/useragent?func=showIssues&code=jcr&open=2004#C2004 ↗
http://onlinelibrary.wiley.com/journal/10.1107/S16005767 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1107/S1600576720008225 ↗
- Languages:
- English
- ISSNs:
- 0021-8898
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4942.400000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 13876.xml