2D Ising model Monte Carlo configurations for the paper Entropy from Machine Learning

Monte Carlo configurations for the 2D Ising model on a periodic 20x20 lattice used in the paper <em>Entropy from Machine Learning.</em> Contains: 20000 configurations for each temperature in the range T=1.0 to T=4.0 in 0.1 intervals 40000 configurations at T=Tc README.md file with information about reading into Python See repository github.com/rmldj/ml-entropy.本数据集为发表于论文《Entropy from Machine Learning.》（《来自机器学习的熵》）中、应用于周期性20×20晶格的二维伊辛模型（2D Ising model）的蒙特卡洛（Monte Carlo）构型。数据集包含以下内容：温度区间T=1.0至T=4.0、步长0.1下每个温度对应的20000条构型，以及临界温度Tc处的40000条构型；附带README.md文件，其中包含Python读取该数据集的相关说明；完整数据集存储于仓库github.com/rmldj/ml-entropy。