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Capturing CSRO requires synergistic computational and experimental strategies. Advanced first\u2010principles methods evaluate mixing enthalpies and local distortions, while atomistic simulations enable large\u2010scale configurational sampling. Analytical frameworks, such as the Cluster Variation Method, predict temperature\u2010dependent ordering trends. Concurrent experimental approaches, including pair distribution function analysis, in situ synchrotron diffraction, atom probe tomography, and resistivity measurements, provide indirect yet complementary insights into local ordering. However, the field lacks a unified framework linking the thermodynamic origin, kinetic evolution, and experimental observability of CSRO, limiting the ability to systematically interpret and compare different approaches. This perspective examines computational and experimental methods in the context of CSRO formation, evolution, and measurement, emphasizes the importance of modeling\u2013experiment cross\u2010validation pathways for integrating these complementary approaches, and provides a critical assessment of their capabilities, limitations, and roles in advancing the understanding and design of MPEAs.<\/jats:p>","DOI":"10.1002\/advs.77057","type":"journal-article","created":{"date-parts":[[2026,8,6]],"date-time":"2026-08-06T09:51:17Z","timestamp":1786009877000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Advances in Computational and Experimental Approaches to Chemical Short\u2010Range Order Formation in Multi\u2010Principal Element Alloys"],"prefix":"10.1002","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5164-6122","authenticated-orcid":false,"given":"Mohsen","family":"Asle 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