论文标题
主动nematics的物理信息驱动的建模
Physically-informed data-driven modeling of active nematics
论文作者
论文摘要
连续描述对于理解活性物质中各种集体现象至关重要。但是，由于我们的知识差距和非线性相互作用的复杂结构，从第一原理构建活性物质的定量连续性模型可能非常具有挑战性。在这里，我们使用一种新型的物理信息数据驱动的方法来构建一个活性列的完整数学模型，该模型从描述限制在油水界面的动力蛋白驱动的微管束的实验数据中。我们发现该模型的结构与Leslie-Ericksen和Beris-Edwards模型相似，但是存在很大且重要的差异。相当出乎意料的是，发现弹性效应在考虑的实验中没有作用，而动力学完全由主动应力和摩擦应力之间的平衡控制。
A continuum description is essential for understanding a variety of collective phenomena in active matter. However, building quantitative continuum models of active matter from first principles can be extremely challenging due to both the gaps in our knowledge and the complicated structure of nonlinear interactions. Here we use a novel physically-informed data-driven approach to construct a complete mathematical model of an active nematic from experimental data describing kinesin-driven microtubule bundles confined to an oil-water interface. We find that the structure of the model is similar to the Leslie-Ericksen and Beris-Edwards models, but there are significant and important differences. Rather unexpectedly, elastic effects are found to play no role in the experiments considered, with the dynamics controlled entirely by the balance between active stresses and friction stresses.
