Fractional Laplacian time-space models for linear and nonlinear lossy media exhibiting arbitrary frequency power-law dependency.
By Wen Chen, Sverre Holm. 2004
351 citations recorded by the source corpus.
Subfields: Modeling and Simulation, Statistical and Nonlinear Physics
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Citations in the corpus
- fPINNs: Fractional Physics-Informed Neural Networks (2018, background): “Among these are solute transport in fractured and porous media [1, 43], acoustic wave propagation with frequency-dependent dissipation [5, 15], laminar and turbulent flows [41, 4], and viscoelastic constitutive laws [25], just to mention a few.”
- A speculative study of 23-order fractional Laplacian modeling of turbulence: some thoughts and conjectures. (2006, methodology): “1 = − ∇ + Δ − − Δ ∂ ∂ + ⋅ ∂ ∂ υ γ ρ . ( 17 ) Here the fractional Laplacian ( ) 3”
- Comparison of fractional wave equations for power law attenuation in ultrasound and elastography. (2013, background): “(10), with a fractional Laplacian attenuation operator first proposed by Chen and Holm (2004).”
- Fractional Differential Mask: A Fractional Differential-Based Approach for Multiscale Texture Enhancement (2010, background): “It has been proven by scientific findings that many fractional order or dimensional mathematic approaches are the best description for natural phenomena [27]–[30].”
- What is the fractional Laplacian? A comparative review with new results (2018, neutral): “Fractional equation Domain Diffusion-reaction [6] ∂t u + (− )α/2u + c(t, x)u = 0 (0,+∞) ×Rd Quasi-geostrophic [7] ∂tθ + u · ∇θ + κ(− )α/2θ = f [0, T ] ×R2 Cahn-Hilliard [8–10] ∂t u + (− )α/2(−ε2 u + f (u)) = 0 (0, T ] × (0,2π)2 Porous medium [8,11] ∂t u + (− )α/2(|u|m−1signu) = 0 (0,+∞) ×Rd Schrödin”
- Time-space fabric underlying anomalous diffusion (2005, background): “where s is the physical quantity of interest (e.g., temperature in anomalous heat conduction), c the corresponding physical coefficient, (� $2)b represents the symmetric fractional Laplacian [ 14 ], and a and b can be real numbers.”