This study focuses on the development and implementation of a computational model based on a two-level system framework, employing a kinetic Monte Carlo approach, to simulate the behavior of magnetic nanoparticles in fluid environments under alternating magnetic field excitation. The primary goal is to develop a tool to be used in the investigation of the impact of different nanoparticle properties on the efficiency of magnetic hyperthermia. A crucial aspect of this investigation is the rigorous validation of the computational model through comprehensive comparisons with experimental observations varying particle size, concentration, and magnetic field amplitude and frequency, ensuring the reliability and accuracy of the model in capturing the complex dynamics of nanoparticles in suspension and its influence on hyperthermia efficiency. Our findings underscore the potential of this computational model as a predictive tool for estimating Specific Loss Power (SLP) metrics across various systems subjected to different applied magnetic fields. By delineating the relationship between the nanoparticle’s characteristics and hyperthermia efficiency, this study contributes to advancing the fundamental understanding and predictive capabilities of magnetic nanoparticle-based hyperthermia therapies.

中文翻译：

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动力学蒙特卡洛方法作为磁热疗效率研究的工具


本研究的重点是开发和实现基于两级系统框架的计算模型，采用动力学蒙特卡洛方法，以模拟磁性纳米粒子在交变磁场激励体环境中的行为。主要目标是开发一种工具，用于研究不同纳米颗粒特性对磁热疗效率的影响。这项研究的一个关键方面是通过与不同粒径、浓度、磁场振幅和频率的实验观察结果进行全面比较，对计算模型进行严格验证，确保模型在捕获悬浮液中纳米颗粒的复杂动力学及其对热疗效率的影响方面的可靠性和准确性。我们的研究结果强调了该计算模型作为预测工具的潜力，用于估计受不同施加磁场影响的各种系统的比损耗功率 （SLP） 指标。通过描述纳米颗粒的特性与热疗效率之间的关系，本研究有助于推进对基于磁性纳米颗粒的热疗疗法的基本理解和预测能力。