等离子体物理中的计算方法与GPU加速：arXiv出版物及研究趋势的实证分析
Computational Methods and GPU Acceleration in Plasma Physics: A Empirical Analysis of arXiv Publications and Research Trends
AI总结：
本研究通过分析arXiv上5522篇论文，探究计算等离子体物理中方法选择、团队规模与GPU采用对研究产出的影响，发现MHD研究摘要更长，PIC和gyrokinetic方法与GPU采用关联紧密，为该领域研究演变提供了文献计量视角。
AI中文摘要：
计算等离子体物理越来越依赖高性能计算（HPC）方法，包括粒子模拟（PIC）、 gyrokinetic（陀螺动力学）和磁流体动力学（MHD）模拟，但关于方法选择、团队规模和GPU采用如何影响研究产出的全领域证据仍然有限。我们使用大规模文本挖掘分析了2010年至2025年间发表在arXiv上的5522篇计算等离子体物理论文，采用摘要长度作为方法和算法复杂性的替代指标。使用普通最小二乘法（OLS）、托比特（tobit）和逻辑回归模型，我们研究了摘要长度和GPU提及频率如何随计算方法、作者数量和发表年份变化。在控制合作规模和时间趋势后，结果显示MHD研究的摘要比PIC和gyrokinetic论文更长，表明其方法和物理阐述更广泛。摘要长度随团队规模略有增加，而时间效应表明摘要简洁性随时间逐渐变化。与此同时，PIC和gyrokinetic方法在过去十年中的相对普及率大幅增长，且与GPU采用密切相关，反映出它们更高的计算强度和对加速器架构的适用性。这些发现共同凸显了方法学冗长性与方法普及率之间的脱钩，为HPC驱动的等离子体物理研究演变提供了新的文献计量视角。
英文摘要：
Computational plasma physics increasingly relies on high-performance computing (HPC) methods, including particle-in-cell (PIC), gyrokinetic, and magnetohydrodynamic (MHD) simulations, yet field-wide evidence on how method choice, team size, and GPU adoption shape research outputs remains limited. We analyze 5,522 computational plasma physics papers published on arXiv between 2010 and 2025 using large-scale text mining, employing abstract length as a proxy for methodological and algorithmic complexity. Using ordinary least squares (OLS), tobit, and logistic regression models, we examine how abstract length and GPU mentions vary with computational method, number of authors, and publication year. Controlling for collaboration size and temporal trends, results show that MHD studies have longer abstracts than PIC and gyrokinetic papers, indicating more extensive methodological and physical exposition. Abstract length increases modestly with team size, while temporal effects suggest gradual changes in abstract conciseness over time. At the same time, PIC and gyrokinetic methods have grown substantially in relative prevalence over the past decade and are strongly linked to GPU adoption, reflecting their higher computational intensity and suitability for accelerator-based architectures. Together, these findings highlight a decoupling between methodological verbosity and method prevalence, offering a new bibliometric perspective on the evolution of HPC-driven plasma physics research.
