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A GPU-Accelerated 3D Unstructured Mesh Based Particle Tracking Code for Multi-Species Impurity Transport Simulation in Fusion Tokamaks 基于gpu加速的三维非结构化网格粒子跟踪代码,用于聚变托卡马克多组分杂质输运模拟
IF 1.3 4区 物理与天体物理 Q3 PHYSICS, FLUIDS & PLASMAS Pub Date : 2025-01-29 DOI: 10.1002/ctpp.202400073
Dhyanjyoti D. Nath, Timothy R. Younkin, Jerome Guterl, Mark S. Shephard, Onkar Sahni

This paper presents the multi-species global impurity transport capability developed in a GPU-accelerated fully 3D unstructured mesh-based code, GITRm, to simultaneously track multiple impurity species and handle interactions of these impurities with mixed-material surfaces. Different computational approaches to model particle-surface interaction or surface response have been developed and compared. Sheath electric field is taken into account by employing a fast distance-to-boundary calculation, which is carried out in parallel on distributed or partitioned meshes on multiple GPUs without the need for any inter-process communication during the simulation. Several example cases, including two for the DIII-D tokamak, that is, one with the SAS-V divertor and the other with the collector probes, are used to demonstrate the utility of the current multi-species capability. For the DIII-D probe case, the capability of GITRm to resolve the spatial distribution of particles in localized regions, such as diagnostic probes, within non-axisymmetric tokamak geometries is demonstrated. These simulations involve up to 320 million particles and utilize up to 48 GPUs.

本文介绍了在gpu加速的全三维非结构化网格代码GITRm中开发的多物种全球杂质传输能力,以同时跟踪多种杂质物种并处理这些杂质与混合材料表面的相互作用。不同的计算方法来模拟粒子-表面相互作用或表面响应已经发展和比较。通过采用快速的距离边界计算来考虑鞘层电场,该计算在多个gpu的分布式或分区网格上并行进行,而无需在仿真期间进行任何进程间通信。几个例子,包括DIII-D托卡马克的两个例子,即一个带有SAS-V分流器,另一个带有收集器探针,被用来展示当前多物种能力的效用。对于DIII-D探针,证明了GITRm在非轴对称托卡马克几何结构中求解局部区域(如诊断探针)粒子空间分布的能力。这些模拟涉及多达3.2亿个粒子,并使用多达48个gpu。
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引用次数: 0
Comparative Analysis of Plasma Sheath Characteristics in One-Dimensional and Three-Dimensional Velocity Spaces Governing Nonextensive Electron Density 非扩展电子密度的一维和三维速度空间等离子体鞘层特性的比较分析
IF 1.3 4区 物理与天体物理 Q3 PHYSICS, FLUIDS & PLASMAS Pub Date : 2025-01-27 DOI: 10.1002/ctpp.202400094
Oussama Jdaini, Abdelhak Missaoui, Mohamed El Bojaddaini, Morad El Kaouini, Hassan Chatei

In this study, we developed a model to explore the characteristics of a magnetized plasma sheath, containing positive ions, electrons, and neutral particles. The ions are described using a fluid model based on the continuity and momentum equations, while the electron distribution is analyzed using three cases: the Maxwell–Boltzmann distribution and the Tsallis distribution in both 1-D and 3-D velocity spaces. Applying the Sagdeev method, we established the modified Bohm sheath criterion to obtain the required ion velocity at the sheath entrance for all three cases. The lower Mach number limit for Bohm velocity modification depends on factors such as ion temperature, ionization frequency, collision frequency, magnetic field angle, nonextensive parameter q$$ q $$, and the velocity space governing the density of nonextensive electrons, independent of magnetic field magnitude. Additionally, the electron velocity distribution was analyzed for various q-values, revealing that in 3-D velocity space, the energy range is broad and extensive, while in 1-D velocity spaces, it is narrower and confined within the broader 3-D interval. We examined the influence of key parameters on sheath characteristics under the Maxwellian distribution, as well as in 1-D and 3-D velocity spaces for the Tsallis distribution. The results demonstrated significant differences between the three cases, showing that in the 3-D case, the sheath thickness expands more compared to the 1-D and the Maxwell–Boltzmann distribution. This underscores the significance of accounting for the dimensionality of velocity space when investigating plasma sheath phenomena. Such understanding is crucial for optimizing plasma-surface interactions in various applications.

在这项研究中,我们开发了一个模型来探索磁化等离子体鞘层的特征,其中包含正离子、电子和中性粒子。用基于连续性和动量方程的流体模型描述离子,用麦克斯韦-玻尔兹曼分布和Tsallis分布三种情况分析电子在一维和三维速度空间中的分布。应用Sagdeev方法,建立了改进的Bohm鞘层判据,得到了三种情况下鞘层入口所需的离子速度。玻姆速度修正的马赫数下限取决于离子温度、电离频率、碰撞频率、磁场角度、非扩展参数q $$ q $$以及控制非扩展电子密度的速度空间等因素,与磁场大小无关。此外,对不同q值下的电子速度分布进行了分析,发现在三维速度空间中,能量范围较宽,而在一维速度空间中,能量范围较窄,限制在较宽的三维区间内。我们研究了麦克斯韦分布下关键参数对鞘层特性的影响,以及tallis分布下1-D和3-D速度空间的影响。结果显示了三种情况之间的显著差异,表明在三维情况下,鞘层厚度比一维和麦克斯韦-玻尔兹曼分布扩展得更大。这强调了在研究等离子体鞘层现象时考虑速度空间维度的重要性。这种理解对于在各种应用中优化等离子体表面相互作用是至关重要的。
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引用次数: 0
Exploring Ion Dynamics in Laser-Produced Plasmas 探索激光等离子体中的离子动力学
IF 1.3 4区 物理与天体物理 Q3 PHYSICS, FLUIDS & PLASMAS Pub Date : 2025-01-21 DOI: 10.1002/ctpp.202400139
Stefan Andrei Irimiciuc, Sergii Chertopalov, Michal Novotny, Valentin Craciun, Jan Lancok

Charged particle dynamics during transient plasma expansion have traditionally been studied within a consistent framework, supporting the advancement of applications like thin film deposition through pulsed laser ablation. However, reported plasma parameters often show inconsistencies, particularly in the relationship between ion mass and oscillation frequencies. Recent insights into charge current temporal traces have highlighted challenges in interpreting modulated probe currents. In this study, we present data on laser-produced plasma (LPP) from Co targets and explore additional phenomena that more accurately describe the behavior of highly energetic, rapidly diffusing LPP.

瞬态等离子体膨胀过程中的带电粒子动力学传统上是在一致的框架内进行研究的,这支持了脉冲激光烧蚀薄膜沉积等应用的进步。然而,报道的等离子体参数经常显示不一致,特别是在离子质量和振荡频率之间的关系。最近对电荷电流时间轨迹的研究突出了解释调制探针电流的挑战。在这项研究中,我们提供了来自钴靶的激光产生等离子体(LPP)的数据,并探索了更准确地描述高能、快速扩散LPP行为的其他现象。
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引用次数: 0
On the Density–Density Correlations of the Non-Interacting Finite Temperature Electron Gas 非相互作用有限温度电子气体的密度-密度关系
IF 1.5 4区 物理与天体物理 Q3 PHYSICS, FLUIDS & PLASMAS Pub Date : 2025-01-21 DOI: 10.1002/ctpp.202400135
Panagiotis Tolias, Tobias Dornheim, Jan Vorberger

The density–density correlations of the non-interacting finite temperature electron gas are discussed in detail. Starting from the ideal linear density response function and utilizing general relations from linear response theory, known and novel expressions are derived for the pair correlation function, static structure factor, dynamic structure factor, thermal structure factor, and imaginary time correlation function. Applications of these expressions in the classical mapping approach, self-consistent dielectric formalism and equation-of-state construction are analyzed in depth.

详细讨论了非相互作用有限温度电子气体的密度-密度关系。从理想线性密度响应函数出发,利用线性响应理论中的一般关系,导出了对相关函数、静态结构因子、动态结构因子、热结构因子和虚时间相关函数的已知和新颖表达式。深入分析了这些表达式在经典映射法、自洽介电形式论和状态方程构造中的应用。
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引用次数: 0
Particle-In-Cell (PIC) Simulations of Electron Focusing Heating Phenomena in Bilateral Ion Extraction Process 双离子萃取过程中电子聚焦加热现象的粒子池(PIC)模拟
IF 1.3 4区 物理与天体物理 Q3 PHYSICS, FLUIDS & PLASMAS Pub Date : 2025-01-21 DOI: 10.1002/ctpp.202400049
Xiaoyong Lu, Liangwei Liu

Particle-in-cell simulations of bilateral ion extraction process are carried out for electron focusing heating phenomenon in this work. The mechanisms and characteristics of the negative heating effect are simulated and analyzed. Then influences of several factors on electron heating degree and ion collection ratio are provided numerically. Finally, relations between the negative heating effect and extraction instability phenomenon are discussed and an approach to mitigate the heating effect is given.

本文对电子聚焦加热现象进行了双侧离子萃取过程的粒子池模拟。对负热效应的机理和特点进行了模拟分析。数值计算了几个因素对电子受热度和离子收集率的影响。最后讨论了负加热效应与萃取不稳定现象之间的关系,并提出了缓解加热效应的方法。
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引用次数: 0
Coupled Electric-Thermal Damage Model for Lightning Strikes on Buried Pipeline 地埋管道雷击电-热耦合损伤模型
IF 1.3 4区 物理与天体物理 Q3 PHYSICS, FLUIDS & PLASMAS Pub Date : 2025-01-15 DOI: 10.1002/ctpp.202400104
Xiao Jin, Pingping Rao, Weikang Feng, Jifei Cui, Sanjay Nimbalkar, Qingsheng Chen

A coupled electrothermal damage theory model for pipelines is proposed to assess the failure behavior of buried pipelines under lightning strikes. This article considers local thermal nonequilibrium (LTNE) conditions in the soil–water porous medium and the nonlinear characteristics of lightning functions. The calculation results show that the proposed theoretical model has better applicability and accuracy compared with previous models. Parametric analysis shows that under lightning conditions of Im = 20 kA and T1/T2 = 1.2/50 μs, the maximum local temperature of the soil around the pipeline can reach 2160 K, leading to pipeline breakdown. Metal pipelines are shown to be more effective in conducting charges, which alters the electric field distribution in the soil and impacts the formation of plasma channels. The half-peak value of the lightning waveform has a significant impact on pipeline breakdown, and its increase will increase the risk of pipeline breakdown gradually. When considering LTNE conditions, the change in the pipeline surface temperature becomes more pronounced. Under 8/30 and 8/40 μs lightning waveforms, the pipeline surface temperature is approximately 150 and 550 K higher, respectively, compared with the thermal equilibrium conditions. The thermal conductivity and porosity of backfill soil can also affect the thermal damage of lightning-struck pipelines. With clay filling, the highest pipeline surface temperature can reach 2590 K, while with fine sand and coarse sand, it is 1980 and 1510 K, respectively. The pipeline lightning disaster model proposed in this article has engineering significance for the investigation of pipeline lightning failure and disaster prevention mechanisms.

提出了一种管道耦合电热损伤理论模型,用于评估地埋管道在雷击下的破坏行为。本文考虑了土-水多孔介质中的局部热非平衡条件和闪电函数的非线性特性。计算结果表明,与以往的理论模型相比,所提出的理论模型具有更好的适用性和准确性。参数分析表明,在Im = 20 kA, T1/T2 = 1.2/50 μs的雷电条件下,管道周围土壤局部最高温度可达2160 K,导致管道击穿。金属管道对电荷的传导更有效,这改变了土壤中的电场分布,影响了等离子体通道的形成。雷电波形的半峰值对管道击穿影响显著,其增加将逐渐增加管道击穿的风险。当考虑LTNE条件时,管道表面温度的变化变得更加明显。在8/30和8/40 μs雷电波形下,管道表面温度分别比热平衡条件高约150和550 K。回填土的导热系数和孔隙率也会影响雷击管线的热损伤。填充粘土时,管道表面温度最高可达2590 K,填充细砂和粗砂时,管道表面温度最高分别为1980和1510 K。本文提出的管道雷击灾害模型对于研究管道雷击灾害及防灾机制具有工程意义。
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引用次数: 0
Issue Information: Contrib. Plasma Phys. 01/2025 发行信息:投稿。等离子体物理。01/2025
IF 1.3 4区 物理与天体物理 Q3 PHYSICS, FLUIDS & PLASMAS Pub Date : 2025-01-15 DOI: 10.1002/ctpp.202590002
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引用次数: 0
Cover Picture: Contrib. Plasma Phys. 01/2025 封面图片:投稿。等离子体物理。01/2025
IF 1.3 4区 物理与天体物理 Q3 PHYSICS, FLUIDS & PLASMAS Pub Date : 2025-01-15 DOI: 10.1002/ctpp.202590001

Plot of temperature inside the rock as a function of time at 70 kV. Fig. 8 of the paper by X. Zhu et al. https://onlinelibrary.wiley.com/doi/10.1002/ctpp.202400058

70千伏时岩石内部温度随时间变化的曲线图。X. Zhu等人的论文图8 https://onlinelibrary.wiley.com/doi/10.1002/ctpp.202400058
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引用次数: 0
Effect of Ion-Neutral Collisions on the Plasma Sheath in the Presence of Surface-Produced Negative Ions 表面产生负离子时离子中性碰撞对等离子体鞘层的影响
IF 1.3 4区 物理与天体物理 Q3 PHYSICS, FLUIDS & PLASMAS Pub Date : 2024-12-11 DOI: 10.1002/ctpp.202400088
Sutapa Samanta, Rakesh Moulick, P. J. Bhuyan, B. J. Saikia

The effect of ion-neutral collisions on the plasma sheath has been investigated for electronegative plasma in the presence of surface-produced negative ions. Such sheath structures are commonly found in the negative ion sources. It has been found that ion-neutral collisions reduce the ion velocity towards the sheath and consequently reduce the negative ion production from the surface. The space charge profile shows peak near the sheath edge in contrast to the common case where it has a peak near the wall. The fractional loss of the ions at the wall along with the ion impact energy is calculated.

研究了表面产生负离子的电负性等离子体中离子中性碰撞对等离子体鞘层的影响。这种鞘状结构通常在负离子源中发现。已经发现,离子中性碰撞降低了向鞘层的离子速度,从而减少了从表面产生的负离子。空间电荷谱在鞘层边缘附近显示峰值,而在通常情况下,它在壁附近有一个峰值。计算了壁面上离子的损失分数和离子的冲击能。
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引用次数: 0
Applying Machine-Learning Methods to Laser Acceleration of Protons: Lessons Learned From Synthetic Data 将机器学习方法应用于质子的激光加速:从合成数据中吸取的教训
IF 1.3 4区 物理与天体物理 Q3 PHYSICS, FLUIDS & PLASMAS Pub Date : 2024-11-22 DOI: 10.1002/ctpp.202400080
Ronak Desai, Thomas Zhang, John J. Felice, Ricky Oropeza, Joseph R. Smith, Alona Kryshchenko, Chris Orban, Michael L. Dexter, Anil K. Patnaik

In this study, we consider three different machine-learning methods—a three-hidden-layer neural network, support vector regression, and Gaussian process regression—and compare how well they can learn from a synthetic data set for proton acceleration in the Target Normal Sheath Acceleration regime. The synthetic data set was generated from a previously published theoretical model by Fuchs et al. 2005 that we modified. Once trained, these machine-learning methods can assist with efforts to maximize the peak proton energy, or with the more general problem of configuring the laser system to produce a proton energy spectrum with desired characteristics. In our study, we focus on both the accuracy of the machine-learning methods and the performance on one GPU including memory consumption. Although it is arguably the least sophisticated machine-learning model we considered, support vector regression performed very well in our tests.

在这项研究中,我们考虑了三种不同的机器学习方法——三隐藏层神经网络、支持向量回归和高斯过程回归——并比较了它们在目标正常鞘层加速机制下从质子加速的合成数据集中学习的效果。合成数据集是从Fuchs等人2005年发表的理论模型中生成的,我们对其进行了修改。经过训练后,这些机器学习方法可以帮助最大限度地提高质子能量峰值,或者解决配置激光系统以产生具有所需特征的质子能谱的更一般问题。在我们的研究中,我们关注机器学习方法的准确性和单个GPU上的性能,包括内存消耗。虽然它可以说是我们考虑过的最不复杂的机器学习模型,但支持向量回归在我们的测试中表现得非常好。
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引用次数: 0
期刊
Contributions to Plasma Physics
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