This document contains the results of the Finite Element models used in the publication "Effective field methods vs finite element models for microgeometries with spheroidal inclusions. Theory and application." An explanation of the variables is given below: a1: Orientation tensor -- 3: denotes diag[0.33,0.33,0.33] -- 6: denotes diag[0.66,0.16,0.16] -- 8: denotes diag[0.80,0.1,0.1] -- 10: denotes diag[1.00,0.0,0.0] ksi: Aspect ratio -- 02: denotes 0.2 -- 05: denotes 0.5 -- 2: denotes 2 -- 5: denotes 5 -- 1: denotes 1 Isotropy: The phases of the composite, iso: both phases are isotropic, T_iso: the inclusions are transversely isotropic BCS: Boundary conditions for the elasticity problem DFS: Driving field for the elasticity problem BCS_thermal: Boundary conditions for the conductivity problem DFS_thermal:: Driving field for the conductivity problem Num_ellipsoids: The number of ellipsoids used in the model --10, 50, 100 for the random packings --1, 2 for the periodic packings Num_realiz: The index of the realization Model_vf: The volume fraction of the model used for the generation of the RVE by the RSA method vf_list_mesh: the volume fraction of the inclusions measured by the volume of the elements in the model All properties are given in SI units. NOTE: ----------------- Load in python using: import pandas as pddf_results = pd.read_csv('simulation_results.csv',dtype={ "a1": str, "ksi": str, #important to identify differences between 02 and 2 })