{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/order-parameter-engineering-for-random","title":"Order Parameter Engineering for Random Systems","arxiv_id":"2210.10339","date":"2022-10-19","proceeding":null,"authors":["G. Anand","Swarnava Ghosh","Markus Eisenbach"],"abstract":"The chemical short-range order (CSRO) in the crystalline materials influences the properties and its effect is particularly important in the context of the multicomponent materials. We propose a scheme for CSRO parameter or $\\mathrm{\\Delta-}$parameter in terms of number of like and unlike bonds in the multicomponent systems. The OPERA or $\\bf{O}$rder $\\bf{P}$arameter $\\bf{E}$ngineering for $\\bf{RA}$ndom Systems scheme for both semi-canonical as well as canonical ensemble is proposed. The proposed framework provides a high-throughput scheme for exploration of the CSRO in terms of the $\\mathrm{\\Delta-}$parameter. We demonstrate the applicability of the $\\mathrm{\\Delta-}$parameter for describing the CSRO in multicomponent alloys and oxides (FCC-CoCrNi, BCC-MoNbTaW and (CoCuMgNiZn)O). We show that the $\\mathrm{\\Delta-}$parameter not only inherits the merit of Warren-Cowley order parameter, but it also addresses its limitations. The $\\mathrm{\\Delta-}$parameter being a scalar quantity can represent the chemical order and OPERA framework can deal with both semi-canonical and canonical ensemble","url_abs":"https://arxiv.org/abs/2210.10339v1","url_pdf":"https://arxiv.org/pdf/2210.10339v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"order-parameter-engineering-for-random","repo_url":"https://github.com/ganand1990/opera","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}