Identification of closure terms using machine learning

The dataset used in this paper is a collection of kinetic simulations of magnetic reconnection. The simulations are performed using the iPiC3D code and are used to train machine learning models to learn a local closure relation for the full electron pressure tensor and the heat flux vector.

本文所用数据集为磁重联（magnetic reconnection）的动力学模拟集合。这些模拟通过iPiC3D代码执行，用于训练机器学习模型，以学习全电子压力张量（full electron pressure tensor）和热通量矢量（heat flux vector）的局部闭合关系。