Magnetic Resonance Dynamics via Fractional Bloch Equation: a Hybrid Computational Framework
This work provides a reliable computational tool for understanding fractional magnetic resonance systems, which is important for researchers and practitioners in fields like NMR spectroscopy, MRI, and MRF, especially for complex heterogeneous materials.
This paper investigates the fractional Bloch equation, which describes nuclear magnetization dynamics in complex media, using a hybrid Laplace residual power series method. It derives a series solution for magnetization components and analyzes the influence of fractional order, demonstrating the method's reliability and superiority through error analysis and comparative studies.
Bloch equations are a powerful tool in describing the dynamics of nuclear magnetization in magnetic resonance phenomena. The fractional generalization of the Bloch equation effectively captures the anomalous relaxation and diffusion in porous, heterogeneous, and complex media. These equations describe how nuclear magnetization evolves under the influence of magnetic fields and relaxation processes. This work effectively employs a hybrid approach, the Laplace residual power series method, to investigate and analyze the fractional Bloch equation. A series solution is derived as the approximate solution for magnetization components. The influence of fractional order on each magnetization component in magnetization dynamics is analyzed and illustrated graphically. We conduct an error analysis to demonstrate the reliability and effectiveness of the proposed approach. The superiority of the suggested approach is shown using a comparative study with existing methods. The findings indicate the potential of the suggested approach as a reliable tool in understanding fractional magnetic resonance systems arising in applications such as NMR spectroscopy, MRI, MRF, and other complex heterogeneous materials.