Analysis and Applications of Fractional Calculus in Computational Physics

A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "Mathematical Physics".

Deadline for manuscript submissions: 31 August 2026 | Viewed by 840

Special Issue Editors


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Vinca Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, Mike Petrovica Alasa 12-14, 11001 Belgrade, Serbia
Interests: fractional calculus; fractional operator; fractional-order and distributed order models; wave propagation; applied and computational mathematics; nonlinear dynamics; condensed matter physics; heat transfer; photothermal science; inverse problems; artificial intelligence; quantum transport
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Guest Editor
Vinca Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, Mike Petrovica Alasa 12-14, 11001 Belgrade, Serbia
Interests: quantum coherence phenomena; quantum biophysics; condensed matter physics;polaron theory; solitons; fractional-order models; fractional calculus

Special Issue Information

Dear Colleagues,

Fractional calculus is a powerful tool that enables more efficient modeling of physical processes in complex physical systems. It is used in the modeling of anomalous dissipative processes, describing physical systems with nonlinear behavior, modeling of electromagnetic field propagation in fractal and anisotropic media, consideration of memory effects in quantum mechanics, describing viscoelastic materials with fractional damping in classical mechanics, overcoming approximation of local equilibrium and locality in general in thermodynamics, etc.

The most commonly used definitions of fractional derivatives and integrals include the Riemann-Liouville and Caputo definitions. However, contemporary research and analysis of different physical models with complex initial and boundary conditions indicate the need to further develop and understand fractional operators. In addition, the analysis of fractional models often requires the development of specialized methods for solving fractional differential equations.

This Special Issue aims to present the advancement in the development of fractional operators and methods of solving fractional differential equations, as well as the novelty in applications of fractional calculus in various fields of physics.

Dr. Slobodanka Galovic
Dr. Dalibor Chevizovich
Guest Editors

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Keywords

  • fractional calculus in physics
  • fractional operators
  • integral transformations of irrational functions
  • inverse Laplace transform of irrational functions
  • time-delayed fractional models
  • numerical methods in fractional problems

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Published Papers (1 paper)

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Research

24 pages, 774 KB  
Article
Electrical Analogy Approach to Fractional Heat Conduction Models
by Slobodanka Galovic, Marica N. Popovic and Dalibor Chevizovich
Fractal Fract. 2025, 9(10), 653; https://doi.org/10.3390/fractalfract9100653 - 9 Oct 2025
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Abstract
Fractional heat conduction models extend classical formulations by incorporating fractional differential operators that capture multiscale relaxation effects. In this work, we introduce an electrical analogy that represents the action of these operators via generalized longitudinal impedance and admittance elements, thereby clarifying their physical [...] Read more.
Fractional heat conduction models extend classical formulations by incorporating fractional differential operators that capture multiscale relaxation effects. In this work, we introduce an electrical analogy that represents the action of these operators via generalized longitudinal impedance and admittance elements, thereby clarifying their physical role in energy transfer: fractional derivatives account for the redistribution of heat accumulation and dissipation within micro-scale heterogeneous structures. This analogy unifies different classes of fractional models—diffusive, wave-like, and mixed—as well as distinct fractional operator types, including the Caputo and Atangana–Baleanu forms. It also provides a general computational methodology for solving heat conduction problems through the concept of thermal impedance, defined as the ratio of surface temperature variations (relative to ambient equilibrium) to the applied heat flux. The approach is illustrated for a semi-infinite sample, where different models and operators are shown to generate characteristic spectral patterns in thermal impedance. By linking these spectral signatures of microstructural relaxation to experimentally measurable quantities, the framework not only establishes a unified theoretical foundation but also offers a practical computational tool for identifying relaxation mechanisms through impedance analysis in microscale thermal transport. Full article
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