guanjihuan/py.guanjihuan.com
1
1
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

guan-0.0.27

Browse Source
This commit is contained in:
guanjihuan
2021-11-10 02:43:39 +08:00
parent 8ce0d3a409
commit 4107eb765c
3 changed files with 21 additions and 15 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
PyPI/setup.cfg
View File

@@ -1,7 +1,7 @@
[metadata]
# replace with your username:
name = guan
version = 0.0.26
version = 0.0.27
author = guanjihuan
author_email = guanjihuan@163.com
description = An open source python package

26
PyPI/src/guan/calculate_conductance.py
View File

@@ -75,13 +75,13 @@ def calculate_conductance_with_fermi_energy_array(fermi_energy_array, h00, h01,
i0 += 1
return conductance_array
def calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensity=2.0, disorder_density=1.0, length=100):
def calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensity=2.0, disorder_concentration=1.0, length=100):
right_self_energy, left_self_energy = self_energy_of_lead(fermi_energy, h00, h01)
dim = np.array(h00).shape[0]
for ix in range(length):
disorder = np.zeros((dim, dim))
for dim0 in range(dim):
if np.random.uniform(0, 1)<=disorder_density:
if np.random.uniform(0, 1)<=disorder_concentration:
disorder[dim0, dim0] = np.random.uniform(-disorder_intensity, disorder_intensity)
if ix == 0:
green_nn_n = green_function(fermi_energy, h00+disorder, broadening=0, self_energy=left_self_energy)
@@ -97,29 +97,35 @@ def calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensi
conductance = np.trace(np.dot(np.dot(np.dot(left_self_energy, green_0n_n), right_self_energy), green_0n_n.transpose().conj()))
return conductance
def calculate_conductance_with_disorder_intensity_array(fermi_energy, h00, h01, disorder_intensity_array, disorder_density=1.0, length=100):
def calculate_conductance_with_disorder_intensity_array(fermi_energy, h00, h01, disorder_intensity_array, disorder_concentration=1.0, length=100, calculation_times=1):
dim = np.array(disorder_intensity_array).shape[0]
conductance_array = np.zeros(dim)
i0 = 0
for disorder_intensity_0 in disorder_intensity_array:
conductance_array[i0] = np.real(calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensity=disorder_intensity_0, disorder_density=disorder_density, length=length))
for times in range(calculation_times):
conductance_array[i0] = conductance_array[i0]+np.real(calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensity=disorder_intensity_0, disorder_concentration=disorder_concentration, length=length))
i0 += 1
conductance_array = conductance_array/calculation_times
return conductance_array
def calculate_conductance_with_disorder_density_array(fermi_energy, h00, h01, disorder_density_array,disorder_intensity=2.0, length=100):
dim = np.array(disorder_density_array).shape[0]
def calculate_conductance_with_disorder_concentration_array(fermi_energy, h00, h01, disorder_concentration_array,disorder_intensity=2.0, length=100, calculation_times=1):
dim = np.array(disorder_concentration_array).shape[0]
conductance_array = np.zeros(dim)
i0 = 0
for disorder_density_0 in disorder_density_array:
conductance_array[i0] = np.real(calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensity=disorder_intensity, disorder_density=disorder_density_0, length=length))
for disorder_concentration_0 in disorder_concentration_array:
for times in range(calculation_times):
conductance_array[i0] = conductance_array[i0]+np.real(calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensity=disorder_intensity, disorder_concentration=disorder_concentration_0, length=length))
i0 += 1
conductance_array = conductance_array/calculation_times
return conductance_array
def calculate_conductance_with_scattering_length_array(fermi_energy, h00, h01, length_array, disorder_intensity=2.0, disorder_density=1.0):
def calculate_conductance_with_scattering_length_array(fermi_energy, h00, h01, length_array, disorder_intensity=2.0, disorder_concentration=1.0, calculation_times=1):
dim = np.array(length_array).shape[0]
conductance_array = np.zeros(dim)
i0 = 0
for length_0 in length_array:
conductance_array[i0] = np.real(calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensity=disorder_intensity, disorder_density=disorder_density, length=length_0))
for times in range(calculation_times):
conductance_array[i0] = conductance_array[i0]+np.real(calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensity=disorder_intensity, disorder_concentration=disorder_concentration, length=length_0))
i0 += 1
conductance_array = conductance_array/calculation_times
return conductance_array