2D and 3D Ising model configurations
收藏DataCite Commons2024-11-26 更新2025-04-15 收录
下载链接：
https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/TXDXWA
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资源简介：
Monte Carlo simulation generated
50000 equilibrium configurations of two-dimensional Ising model (with LxL=64x64=4096 spins) at each temperature within T = 0.25-4.00;
50000 equilibrium configurations of three-dimensional Ising model (with LxLxL=16x16x16=4096 spins) at each temperature within T = 2.5-6.25.
Periodic boundary conditions (PBC) are applied to the square (2D) or simple cubic (3D) lattices.
Data format: numpy array (binary .npy file), in which spin up and spin down are stored as 1 and 0 in unit8 datatype.
Example python command to load data:
"configs = np.load('./d2L64T0.25.npy') # use your own file path"
where configs should be a 50000 by 4096 python array.
Each configuration is unfolded into a one-dimensional vector (one row of the numpy array). To recover the LxL or LxLxL lattice, use numpy reshape command, e.g. config.reshape(64,64).
提供机构：
Harvard Dataverse
创建时间：
2024-11-25
