Abstract
This paper introduces a novel extension of the Atangana-Baleanu-Caputo (ABC) fractional operator via a generalized Laplace-type memory kernel constructed from a three-parameter deformed Gamma function Γμ, ν, κ(·). The resulting operator captures a wide spectrum of nonlocal memory behaviors with tunable decay rates and heterogeneity control, enabling enhanced modeling of physical and biological processes across multi-layered complex domains. The mathematical formulation accommodates nonsingular and non-power-law kernels, addressing longstanding issues in standard ABC models related to initial conditions and long-time accuracy. Applications are presented in composite heat conduction with discontinuous diffusivity and epidemic dynamics with region-specific memory fading. Numerical simulations using Talbot inversion validate the proposed framework, and a new class of analytical solutions under piecewise diffusion and generalized forcing is established. The proposed operator sets a foundation for new classes of fractional models in control, imaging, epidemiology, and soft matter physics.
| Original language | English |
|---|---|
| Article number | 42 |
| Journal | International Journal of Applied and Computational Mathematics |
| Volume | 12 |
| Issue number | 3 |
| Early online date | 9 Apr 2026 |
| DOIs | |
| Publication status | Published - 9 Apr 2026 |
Keywords
- memory effects
- heterogeneous materials
- ABC-fractional derivative
- Laplace kernel
- fractional diffusion
- generalized Gamma function
- optimal control
- multilayer heat equation
- Talbot inversion
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