Published July 2, 2003
| Version v1
Journal article
Structure maps revisited
Creators
- 1. Department of Materials, University of Oxford, Parks Road, Oxford OX1 3PH (United Kingdom)
Description
Structure maps have always held out the allure of being useful guides in materials design. A novel method for predicting candidate structure types demonstrates that the Pettifor maps for binary compounds are surprisingly predictive and offers a natural way for extending the predictive power of the maps to higher multicomponent systems. (viewpoint)
Availability note (English)
Available online at http://stacks.iop.org/0953-8984/15/V13/c325n2.pdf or at the Web site for the Journal of Physics. Condensed Matter (ISSN 1361-648X) http://www.iop.org/Additional details
Identifiers
- URL
- http://stacks.iop.org/0953-8984/15/V13/c325n2.pdf; http://www.iop.org/;
- DOI
- 10.1088/0953-8984/15/25/402;
- PII
- S0953-8984(03)64264-5;
Publishing Information
- Journal Title
- Journal of Physics. Condensed Matter
- Journal Volume
- 15
- Journal Issue
- 25
- Journal Page Range
- p. V13-V16
- ISSN
- 0953-8984
- CODEN
- JCOMEL
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 35003289
- Subject category
- S75: CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY;
- Descriptors DEI
- ALGORITHMS; ALLOYS; CRYSTAL STRUCTURE; FORECASTING; MAPS; SOLID CLUSTERS; STOICHIOMETRY
- Descriptors DEC
- MATHEMATICAL LOGIC