极端条件下碳氢材料Richtmyer-Meshkov不稳定性的多尺度研究

极端条件下碳氢材料的Richtmyer-Meshkov不稳定性在惯性约束聚变、高超声速国防尖端武器、天体物理各类射流的形成和演化等领域有着广泛且重要的应用背景。其涉及多尺度、强非线性及湍流等问题，发展过程包括元素分层及电子电离等因素，物理图像十分复杂，如何处理并描述其演化过程仍充满了挑战。本项目拟发展一种多尺度模拟方法，结合机器学习方法描述原子相互作用以及粗粒化模型。并利用其研究极端条件下物质界面流体力学不稳定性的发展过程，深入到原子内部刻画其线性、弱非线性与非线性阶段的演化过程，探究界面扰动、流体密度比、可压缩性、粘度以及电子激发、电离等因素对不稳定性发展的影响。这对惯性约束聚变、冲击压缩物理以及天体物理等领域具有重要意义。

The Richtmyer-Meshkov hydrodynamic instability of hydrocarbon materials under the extreme conditions has a broad and important application background in the fields of inertial confinement fusion, hypersonic defense weapons, and the formation and evolution of various jets in astrophysics. It involves many issues, such as multi-scale, strong nonlinearity, turbulence and so on. Its development includes species separation and electron ionization with complex processes, which is still a severe challenge to give a precise description. This project intends to develop a multi-scale method to investigate the evolution of the hydrodynamic instability under extreme conditions, combining machine learning to describe the atomic interactions and coarse-grained models. We will give an atomic insight into the linear, weak-nonlinear and nonlinear processes. The effects of interfacial disturbance, density ratio, fluidic compressibility and viscosity, electron excitation, ionization and other factors on the development of instability will be taken into consideration. These will be of great significance to the fields of inertial constraint fusion, shock compression physics and astrophysics.