论文标题
数据驱动的Thiele方程方法用于求解完整的非线性旋转涡旋旋转振荡器动力学
Data-driven Thiele equation approach for solving the full nonlinear spin-torque vortex oscillator dynamics
论文作者
论文摘要
理论上研究了基于涡旋的旋转纳米振荡器的动力学。从基于Thiele方程方法的完全分析模型开始，进行了微调的数据驱动校正，对旋转和阻尼项进行了校正。这些调整基于微磁模拟结果，可以定量对此类振荡器对涡旋稳定性范围内的任何DC电流的响应进行定量模拟。在拟议的数据驱动的Thiele方程方法下，可以准确预测瞬态和稳态状态。此外，与最强大的微磁模拟相比，解决该系统动力学所需的计算时间降低了约六个数量级。这一重大突破为提交到长期输入信号的自旋旋转涡流振荡器的前所未有的高通量模拟开辟了道路，例如在神经形态计算应用中。
The dynamics of vortex based spin-torque nano-oscillators is investigated theoretically. Starting from a fully analytical model based on the Thiele equation approach, fine-tuned data-driven corrections are carried out to the gyrotropic and damping terms. These adjustments, based on micromagnetic simulation results, allow to quantitatively model the response of such oscillators to any dc current within the range of the vortex stability. Both, the transient and the steady-state regimes are accurately predicted under the proposed data-driven Thiele equation approach. Furthermore, the computation time required to solve the dynamics of such system is reduced by about six orders of magnitude compared to the most powerful micromagnetic simulations. This major breakthrough opens the path for unprecedented high-throughput simulations of spin-torque vortex oscillators submitted to long-duration input signals, for example in neuromorphic computing applications.
