Connection between phantom and spatial correlation in the Kolmogorov–Johnson–Mehl–Avrami-model: A brief review
M. Tomellini and
M. Fanfoni
Physica A: Statistical Mechanics and its Applications, 2022, vol. 590, issue C
Abstract:
The goal of this minireview is restricted to describe how the theoretical basis of Kolmogorov (1937)–Johnson-Mehl (1939) –Avrami (1939–41) model has evolved from its birth up to the present day. The model, which dates back to the late of 1930s, has the purpose of describing the kinetics of a phase transformation. Given the nature of this article, although there are hundreds (if not thousands) of experimental data concerning the most disparate topics, which are interpreted on the basis of the KJMA model, no arguments relating to these, will be touched upon.
Keywords: KJMA or JMAK model (Kolmogorov–Johnson–Mehl–Avrami); Overgrowth of phantoms; Phase transformation kinetics (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437121009468
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:590:y:2022:i:c:s0378437121009468
DOI: 10.1016/j.physa.2021.126748
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().