应用香农 entropy 反应-扩散问题使用随机有限差异方法
Marcin Kamiński1, Rafał Leszek Ossowski1
1Faculty of Civil Engineering, Architecture and Environmental Engineering, Lodz University of Technology, 93-590 Łódź, Poland.
Entropy (Basel, Switzerland)
|July 29, 2025
概括
香农提供了一种新的方法来测量扩散变异性. 该指标量化了粒子分布障碍,增强了对混合和扩散动态的理解.
科学领域:
- 物理化学 物理化学
- 统计力学 统计力学
- 计算科学 计算科学
背景情况:
- 扩散过程是各种科学学科的基础.
- 描述扩散动态通常依赖于传统的指标,这些指标可能无法捕捉粒子分布的各个方面.
- 需要新的定量方法来全面评估扩散行为.
研究的目的:
- 引入香农作为评估扩散过程中度变化的度量.
- 为了证明香农在描述扩散动态,混合效率和平衡状态方面的实用性.
- 建立一个计算框架来分析在扩散过程中的演变.
主要方法:
- 香农的应用,以量化扩散粒子分布中的空间不确定性.
- 使用有限差异方法进行数值模拟.
- 用MAPLE 2025符号计算环境来实现模型.
- 利用先前验证的计算框架来实现一致性.
主要成果:
- 香农力有效量化了在扩散过程中粒子分布的不确定性和混乱.
- 的进化表明与扩散动力学和混合过程有明显的相关性.
- 计算模型成功地说明了变化和扩散行为之间的关系.
- 这些发现验证了香农作为扩散驱动混合的强有力的描述符.
结论:
- 香农提供了一种新而强大的度量,用于分析扩散过程.
- 这种方法提高了混合效率和扩散动态的表征.
- 潜在的应用范围涵盖工程,环境科学和生物物理学,突出显示了该方法的广泛相关性.
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