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<Article>
<Journal>
				<PublisherName>University of Guilan</PublisherName>
				<JournalTitle>Journal of Mathematical Modeling</JournalTitle>
				<Issn>2345-394X</Issn>
				<Volume>14</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>08</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A stable and convergent fully discrete scheme for solving two-dimensional distributed-order fractional cable models</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>891</FirstPage>
			<LastPage>907</LastPage>
			<ELocationID EIdType="pii">9421</ELocationID>
			
<ELocationID EIdType="doi">10.22124/jmm.2026.32479.2945</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Hamid</FirstName>
					<LastName>Rezaei</LastName>
<Affiliation>Department of Mathematics, College of Sciences, Yasouj University, Yasouj-, 75914-74831, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Meysam</FirstName>
					<LastName>Asadipour</LastName>
<Affiliation>Department of Mathematics, College of Sciences, Yasouj University, Yasouj-75914-74831, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad Hossein</FirstName>
					<LastName>Derakhshan</LastName>
<Affiliation>Department of Mathematics, College of Sciences, Yasouj University, Yasouj-75914-74831, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>12</Month>
					<Day>08</Day>
				</PubDate>
			</History>
		<Abstract>This paper investigates a novel distributed-order time-fractional cable equation involving both Caputo and Riemann–&lt;br /&gt;Liouville fractional derivatives, which models complex diffusion and memory effects in various physical and biological systems. The proposed model incorporates a distributed-order fractional Laplacian term, a memory integral, and a nonlinear source, capturing multiscale temporal dynamics and nonlocal behavior. A robust numerical scheme  is developed by applying a fractional Adams–Bashforth–Moulton predictor-corrector method for time discretization, while central difference approximations are used for the spatial Laplacian. This results in a fully discrete scheme that effectively combines the advantages of convolution quadrature with classical finite difference methods. A detailed convergence and stability analysis of the numerical method is presented using an energy-based approach and a discrete fractional Gronwall inequality. The method is proven to be unconditionally stable and achieves optimal convergence&lt;br /&gt;rates in both time and space. Numerical simulations confirm the theoretical predictions and demonstrate the accuracy&lt;br /&gt;and efficiency of the scheme in capturing the underlying fractional dynamics. The proposed framework offers a powerful&lt;br /&gt;and flexible tool for the numerical simulation of fractional-order systems with distributed memory, and can be extended&lt;br /&gt;to a wide range of multi-term and distributed-order fractional partial differential equations.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Distributed-order fractional differential equations</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">cable equation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">fractional Adams--Bashforth--Moulton method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Stability analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Numerical simulation</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jmm.guilan.ac.ir/article_9421_1b45020e2f34cc4e3e7e8e1335df757d.pdf</ArchiveCopySource>
</Article>
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