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Pyrokinetics - A Python library to standardisegyrokinetic analysis Pyrokinetics - 用于标准化动力学分析的 Python 库
Pub Date : 2024-03-06 DOI: 10.21105/joss.05866
B. Patel, Peter Hill, Liam Pattinson, M. Giacomin, A. Bokshi, Daniel Kennedy, H. Dudding, J. Parisi, Tom F. Neiser, Ajay C. Jayalekshmi, David Dickinson, Juan Ruiz Ruiz
Fusion energy offers the potential for a near limitless source of low-carbon energy and is often regarded as a solution for the world’s long-term energy needs. To realise such a scenario requires the design of high-performance fusion reactors capable of maintaining the extreme conditions necessary to enable fusion. Turbulence is typically the dominant source of transport in magnetically-confined fusion plasmas, accounting for the majority of the particle and heat losses. Gyrokinetic modelling aims to quantify the level of turbulent transport encountered in fusion reactors and can be used to understand the major drivers of turbulence. The realisation of fusion critically depends on understanding how to mitigate turbulent transport, and thus requires high levels of confidence in the predictive tools being employed. Many different gyrokinetic modelling codes are available and Pyrokinetics aims to standardise the analysis of such computationally demanding simulations
聚变能提供了近乎无限的低碳能源,通常被视为解决世界长期能源需求的方案。要实现这一设想,需要设计出能够维持聚变所需的极端条件的高性能聚变反应堆。湍流通常是磁约束聚变等离子体中的主要传输源,占粒子和热损失的绝大部分。陀螺动力学建模旨在量化聚变反应堆中遇到的湍流传输水平,并可用于了解湍流的主要驱动因素。核聚变的实现在很大程度上取决于对如何减缓湍流传输的理解,因此需要对所使用的预测工具有高度的信心。目前有许多不同的陀螺动力学建模代码,Pyrokinetics 的目标是使这些计算要求极高的模拟分析标准化。
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引用次数: 1
calorine: A Python package for constructing andsampling neuroevolution potential models 卡洛琳用于构建和采样神经进化潜能模型的 Python 软件包
Pub Date : 2024-03-06 DOI: 10.21105/joss.06264
Eric Lindgren, Magnus Rahm, Erik Fransson, Fredrik Eriksson, Nicklas Österbacka, Zheyong Fan, Paul Erhart
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引用次数: 1
WorldDynamics.jl: A Julia Package for Developing andSimulating Integrated Assessment Models WorldDynamics.jl:开发和模拟综合评估模型的 Julia 软件包
Pub Date : 2024-03-05 DOI: 10.21105/joss.05772
Pierluigi Crescenzi, Emanuele Natale, Aurora Rossi, Paulo Bruno Serafim
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引用次数: 0
DAPPER: Data Assimilation with Python: a Package forExperimental Research DAPPER:Python 数据同化:实验研究软件包
Pub Date : 2024-02-29 DOI: 10.21105/joss.05150
P. Raanes, Yumeng Chen, C. Grudzien
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引用次数: 1
A Python module to combine p values arising fromdiscrete tests. 一个 Python 模块,用于合并离散检验产生的 p 值。
Pub Date : 2024-02-29 DOI: 10.21105/joss.06096
Gerrit Ansmann
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引用次数: 0
CoSApp: a Python library to create, simulate and designcomplex systems. CoSApp:用于创建、模拟和设计复杂系统的 Python 库。
Pub Date : 2024-02-29 DOI: 10.21105/joss.06292
Étienne Lac, Guy De Spiegeleer, Adrien Delsalle, Frédéric Collonval, Duc-Trung Lê, Mathias Malandain
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引用次数: 0
cppTPSA/pyTPSA: a C++/Python package for truncatedpower series algebra cppTPSA/pyTPSA:用于截断幂级数代数的 C++/Python 软件包
Pub Date : 2024-02-29 DOI: 10.21105/joss.04818
He Zhang
The truncated power series algebra (TPSA), also referred to as differential algebra (DA), is a well-established and widely used method in particle accelerator physics and astronomy. The most straightforward usage of TPSA/DA is to calculate the Taylor expansion of a given function at a specific point up to order 𝑛 . In recent years, as the application of TPSA/TA has been extended to other fields, a reusable implementation of TPSA/DA as a modern C++ library or other high level programming language like Python has become desirable. The cppTPSA package implements TPSA/DA in C++11 and provides developers a convenient library with which to build advanced TPSA/DA-based methods. A Python 3 library, pyTPSA, has also been developed based on the C++ lib.
截断幂级数代数(TPSA),也称为微分代数(DA),是粒子加速器物理学和天文学中一种成熟且广泛使用的方法。TPSA/DA 最直接的用法是计算给定函数在特定点的𝑛阶泰勒展开。近年来,随着 TPSA/TA 的应用扩展到其他领域,TPSA/DA 作为现代 C++ 库或其他高级编程语言(如 Python)的可重用实现已变得非常必要。cppTPSA 软件包在 C++11 中实现了 TPSA/DA,为开发人员提供了一个方便的库,用于构建基于 TPSA/DA 的高级方法。基于 C++ 库还开发了 Python 3 库 pyTPSA。
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引用次数: 0
Surjectors: surjection layers for density estimationwith normalizing flows 抛射体:用于密度估算的抛射层,带归一化流量
Pub Date : 2024-02-29 DOI: 10.21105/joss.06188
Simon Dirmeier
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引用次数: 0
LobsterPy: A package to automatically analyze LOBSTERruns LobsterPy:自动分析 LOBSTERruns 的软件包
Pub Date : 2024-02-27 DOI: 10.21105/joss.06286
A. Naik, Katharina Ueltzen, C. Ertural, Adam J. Jackson, Janine George
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引用次数: 0
DeepRank2: Mining 3D Protein Structures with GeometricDeep Learning DeepRank2:利用几何深度学习挖掘三维蛋白质结构
Pub Date : 2024-02-27 DOI: 10.21105/joss.05983
Giulia Crocioni, Dani L. Bodor, Coos Baakman, Farzaneh M. Parizi, Daniel T. Rademaker, Gayatri Ramakrishnan, S. A. van der Burg, Dario F. Marzella, João M. C. Teixeira, Li C. Xue
DeepRank2, a deep
DeepRank2
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引用次数: 0
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Journal of Open Source Software
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