Stress step data

Stress step data is saved in stress_step_data.pkl if you set stress_step_flag = True in [option] section of cryspy.in. NumPy library is required to analyze this data file.

警告

stress_step_flag = True is currently available only with VASP, QE, and soiap.

Data format

  • type: dict
    • key: structure ID
    • value: list of stress step data in each stage
  • string form
    • {0: [array([[-0.16770062, 0. , 0. ], […], […]]), array([[…], ]…], […]]), …],
      1: [array([[ 0.39260083, -0. , -0. ], […], […]]), array([[…], […], […]]), …],
      …}
  • unit of stress
    • eV/(Å**3)

How to access

import pickle
with open('stress_step_data.pkl', 'rb') as f:
    stress_step_data = pickle.load(f)

# stress_step_data[ID][stage][step][atom]
# stress_step_data[ID][0] <-- stage 1
# stress_step_data[ID][1] <-- stage 2
#
# in LAQA
# stress_step_data[ID][selection][step][atom]
# stress_step_data[ID][0] <-- 1st selection
# stress_step_data[ID][1] <-- 2nd selection

# ---------- stress step data of ID 3, stage 1
cid = 0      # ID
stage = 1    # stage
stress_step_data[cid][stage-1][:3]    # to show only 3 steps in jupyter 

[array([[-0.16770062,  0.        ,  0.        ],
        [ 0.        , -0.16770062, -0.        ],
        [ 0.        ,  0.        ,  0.21823358]]),
 array([[-0.16020785, -0.        , -0.        ],
        [-0.        , -0.16020785,  0.        ],
        [-0.        ,  0.        ,  0.18646321]]),
 array([[-0.13572003, -0.        ,  0.        ],
        [-0.        , -0.13572003,  0.        ],
        [-0.        ,  0.        ,  0.15953926]])]