论文标题

优化目标的掺杂参数以增强直接驱动内爆

Optimizing doping parameters of target to enhance direct-drive implosion

论文作者

Zheng, Guannan, Tao, Tao, Jia, Qing, Yan, Rui, Zheng, Jian

论文摘要

直接驱动是实现惯性限制融合点火的重要方法。为了增强内爆性能,同时将流体动力不稳定的风险保持在低水平,我们设计了一种程序来优化用中或高$ z $原子掺杂的目标参数。在该过程中,可以自动模拟一维内爆,而其内爆性能和高维不稳定性同时进行了整体评估。为了找到最佳的掺杂参数,该过程是在全局优化算法的框架中执行的,我们在当前工作中使用了粒子群优化。在优化中,使用插值方法快速获得混合材料的不透明度,这与Tops的数据仅略有不同,这是Los Alamos国家实验室的在线掺杂程序。为了测试该过程,在双锥点火方案中对CH射击者进行了优化[Phil。反式。 R. Soc。 A. 378.2184(2020)]通过与Si和Cl掺杂。一维模拟都表明,用Si或Cl掺杂可以在加速阶段有效缓解不稳定性,并且不会导致峰值面积密度的显着降解。一维模拟的结果彼此质量匹配,证明了我们的优化程序的有效性。

Direct-drive is an important approach to achieving the ignition of inertial confinement fusion. To enhance implosion performance while keeping the risk of hydrodynamic instability at a low level, we have designed a procedure to optimize the parameters of the target doped with mid- or high-$Z$ atoms. In the procedure, a one-dimensional implosion can be automatically simulated, while its implosion performance and high-dimensional instability are integrally evaluated at the same time. To find the optimal doping parameters, the procedure is performed in the framework of global optimization algorithm, where we have used the particle swarm optimization in the current work. In the optimization, the opacity of mixture materials is quickly obtained by using an interpolation method, showing only a slight difference from the data of TOPS, which is an online doping program of Los Alamos National Laboratory. To test the procedure, optimization has been carried out for the CH ablator in the double cone ignition scheme [Phil. Trans. R. Soc. A. 378.2184 (2020)] by doping with Si and Cl. Both one- and two-dimensional simulations show that doping with either Si or Cl can efficiently mitigate the instability during the acceleration phase and does not result in significant degradation of the peak areal density. The results from one- and two-dimensional simulations qualitatively match with each other, demonstrating the validity of our optimization procedure.

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