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  Dynamic scaling and stochastic fractal in nucleation and growth processes

Lahiri, A., Kamrul Hassan, M., Blasius, B., Kurths, J. (2022): Dynamic scaling and stochastic fractal in nucleation and growth processes. - Chaos, 32, 9, 093124.
https://doi.org/10.1063/5.0097417

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 Creators:
Lahiri, Amit1, Author
Kamrul Hassan, Md.1, Author
Blasius, Bernd1, Author
Kurths, Jürgen2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: A class of nucleation and growth models of a stable phase is investigated for various different growth velocities. It is shown that for growth velocities v≈s(t)/t and v≈x/τ(x), where s(t) and τ are the mean domain size of the metastable phase (M-phase) and the mean nucleation time, respectively, the M-phase decays following a power law. Furthermore, snapshots at different time t that are taken to collect data for the distribution function c(x,t) of the domain size x of the M-phase are found to obey dynamic scaling. Using the idea of data-collapse, we show that each snapshot is a self-similar fractal. However, for v=const., such as in the classical Kolmogorov–Johnson–Mehl–Avrami model, and for v≈1/t , the decays of the M-phase are exponential and they are not accompanied by dynamic scaling. We find a perfect agreement between numerical simulation and analytical results. A class of nucleation and growth process is studied analytically by solving an integro-partial differential equation and verified numerically by Monte Carlo simulation. The growth velocity is defined as the ratio of the distance traveled s by the new phase, and the magnitude of time t needed to travel that distance. We first choose constant growth velocity by assuming both s and t equal to constant and reproduce the results of the much studied classical Kolmogorov–Johnson–Mehl–Avrami (KJMA) model. Choosing one of them a constant still makes the exponential decay of the meta-stable phase, such as the KJMA model. However, the growth velocity is so chosen that neither s nor t is constant, and we find that the meta-stable phase decays following a power law. Such a power law is also accompanied by the emergence of fractal. The self-similar property of fractal is verified by showing that the system exhibits dynamic scaling revealing a self-similar symmetry along the continuous time axis. According to Noether’s theorem, there must exist a conserved quantity, and we do find that the dfth moment, where df is the fractal dimension, is always conserved.

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Language(s): eng - English
 Dates: 2022-09-192022-09-19
 Publication Status: Finally published
 Pages: 11
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1063/5.0097417
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Nonlinear Dynamics
Working Group: Network- and machine-learning-based prediction of extreme events
OATYPE: Green Open Access
 Degree: -

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Title: Chaos
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 32 (9) Sequence Number: 093124 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/180808
Publisher: American Institute of Physics (AIP)