Evidence map›Paper›PMID 40370611›Full record

ArticleRoyal Society open science2025

Revisiting time-dependent growth and nucleation rates in the Johnson-Mehl-Avrami-Kolmogorov equation.

Kiana Shirzad, Christopher Viney

Abstract read
In one paragraph

Article in Royal Society open science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Ligand-Mediated Defects Unlock Fast and Regenerable COJournal of the American Chemical Society · 2026
    Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Kiana ShirzadGraduate Program in Materials and Biomaterials Science and Engineering, University of California Merced, Merced, CA, USA.ORCID https://orcid.org/0009-0006-2908-9565
Christopher VineyDepartment of Chemical and Materials Engineering, University of California Merced, Merced, CA, USA.ORCID https://orcid.org/0009-0008-0660-4362

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Johnson-Mehl-Avrami-Kolmogorov (JMAK) equation is widely used to model phase transformation kinetics-a topic central to materials in which solidification, precipitation or recrystallization is occurring. The classic derivation of this reaction equation primarily assumes that nucleation is either instantaneous or sporadic at a constant rate, and that growth rate is constant; consideration of possible time dependence of these rates is limited to the physically uncommon cases of the time dependence being linear. In contrast, many common phase transformations involve kinetics in which the growth rate varies in proportion to time raised to a power that can range from -0.5 (diffusion control; Fickian diffusion; case I diffusion), through values that represent anomalous diffusion, to zero (interface control; case II diffusion) and beyond (super case II diffusion). We have extended the classic derivation by generalizing the formulation of the growth and nucleation rates to include these contexts, and we introduce and justify some additional refinements while retaining the overall mathematical accessibility of the classic derivation. The reaction equations derived in this process explicitly demonstrate how the time dependence of nucleation rate and growth rate affects the constants in the JMAK equation, allowing the possibility of values beyond their classical range.

Indexed as

diffusioninterface controlJohnson–Mehl–Avrami–Kolmogorov (JMAK) equationnucleation and growthphase transformationreaction equation

Identifiers

PMID40370611
PMCPMC12074798

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.