论文标题
激光脉冲形状设计器，用于直接驱动惯性限制融合
Laser pulse shape designer for direct-drive inertial confinement fusion
论文作者
论文摘要
已经开发了用于直接驱动惯性限制融合的脉冲形状设计器，它旨在高压融合燃料，同时将流体动力学不稳定性保持在可耐受水平。对内爆不稳定性的快速线性分析使设计人员能够以实用的计算成本充分扫描巨大的脉冲配置空间，机器学习有助于将脉冲性能汇总到隐性缩放度量指标中，从而促进脉冲形状的演变。设计师通过合并各种数据集（包括额外的高精度模拟或实验）来提高其信誉。当对双锥点火方案进行测试[J.张等人，菲尔。反式。 R. Soc。 A. 378.2184（2020）]，优化的脉冲达到装配要求，显示出明显的烙印缓解和绝热的塑造能力，并有可能在实际实验中实现更好的内爆性能。该设计师是传统经验脉冲调整程序的有效替代方法，可减少工作量和时间消耗。设计师可用于快速探索新的直接驱动方案的未知参数空间，有助于设计迭代并降低实验风险。
A pulse shape designer for direct drive inertial confinement fusion has been developed, it aims at high compression of the fusion fuel while keeping hydrodynamics instability within tolerable level. Fast linear analysis on implosion instability enables the designer to fully scan the vast pulse configuration space at a practical computational cost, machine learning helps to summarize pulse performance into an implicit scaling metric that promotes the pulse shape evolution. The designer improves its credibility by incorporating various datasets including extra high-precision simulations or experiments. When tested on the double-cone ignition scheme [J. Zhang et al, Phil. Trans. R. Soc. A. 378.2184 (2020)], optimized pulses reach the assembly requirements, show significant imprint mitigation and adiabatic shaping capability, and have the potential to achieve better implosion performance in real experiments. This designer serves as an efficient alternative to traditional empirical pulse shape tuning procedure, reduces workload and time consumption. The designer can be used to quickly explore the unknown parameter space for new direct-drive schemes, assists design iteration and reduces experiment risk.
