Computing the Paschen curve for argon with speed-limited particle-in-cell simulation

Computing the Paschen curve for argon with speed-limited particle-in-cell simulation
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DOI:
10.1063/5.0051095
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发表时间:
2021-03
期刊:
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通讯作者:
J. Theis;G. Werner;T. Jenkins;J. Cary
J. Theis;G. Werner;T. Jenkins;J. Cary
中科院分区:
其他
文献类型:
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作者:
J. Theis;G. Werner;T. Jenkins;J. Cary

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在包含碰撞后,限速细胞内粒子 (SLPIC) 模拟方法成功计算了氩气的帕邢曲线。 1D3V 模拟模拟了充满氩气的电容器上的电子级联,包括电子中性电离、电子中性弹性碰撞、电子中性激发和离子诱导的二次电子发射。在电击穿中,离子和电子运动之间的时间尺度差异使得传统的细胞内粒子 (PIC) 方法计算速度缓慢。为了减少这种时间尺度差异并加快计算速度,我们使用了 SLPIC,这是一种限制模拟中最快电子速度的时域算法。 SLPIC 算法有助于对动力学和碰撞进行直接、全动力学的处理。 SLPIC 与 PIC 一样准确,但运行速度快 200 倍。 SLPIC 准确地计算了压力超过三个数量级的氩气的帕邢曲线。
Upon inclusion of collisions, the speed-limited particle-in-cell (SLPIC) simulation method successfully computed the Paschen curve for argon. The 1D3V simulations modelled an electron cascade across an argon-filled capacitor, including electronneutral ionization, electron-neutral elastic collisions, electron-neutral excitation, and ion-induced secondary electron emission. In electrical breakdown, the timescale difference between ion and electron motion makes traditional particle-in-cell (PIC) methods computationally slow. To decrease this timescale difference and speed up computation, we used SLPIC, a time-domain algorithm that limits the speed of the fastest electrons in the simulation. The SLPIC algorithm facilitates a straightforward, fully-kinetic treatment of dynamics and collisions. SLPIC was as accurate as PIC, but ran up to 200 times faster. SLPIC accurately computed the Paschen curve for argon over three orders of magnitude in pressure.