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

guan-0.0.26

Browse Source
This commit is contained in:
guanjihuan 2021-11-10 01:30:58 +08:00
parent eadeea4527
commit 8ce0d3a409
3 changed files with 56 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
API_reference.py
View File

@ -82,6 +82,10 @@ right_lead_surface, left_lead_surface = guan.surface_green_function_of_lead(ferm
right_self_energy, left_self_energy = guan.self_energy_of_lead(fermi_energy, h00, h01)
conductance = guan.calculate_conductance(fermi_energy, h00, h01, length=100)
conductance_array = guan.calculate_conductance_with_fermi_energy_array(fermi_energy_array, h00, h01, length=100)
conductance = guan.calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensity=2.0, disorder_density=1.0, length=100)
conductance_array = guan.calculate_conductance_with_disorder_intensity_array(fermi_energy, h00, h01, disorder_intensity_array, disorder_density=1.0, length=100)
conductance_array = guan.calculate_conductance_with_disorder_density_array(fermi_energy, h00, h01, disorder_density_array,disorder_intensity=2.0, length=100)
conductance_array = guan.calculate_conductance_with_scattering_length_array(fermi_energy, h00, h01, length_array, disorder_intensity=2.0, disorder_density=1.0)
# scattering matrix # Source code: https://py.guanjihuan.com/calculate_scattering_matrix
if_active = guan.if_active_channel(k_of_channel)

2
PyPI/setup.cfg
View File

@ -1,7 +1,7 @@
[metadata]
# replace with your username:
name = guan
version = 0.0.24
version = 0.0.26
author = guanjihuan
author_email = guanjihuan@163.com
description = An open source python package

53
PyPI/src/guan/calculate_conductance.py
View File

@ -61,8 +61,8 @@ def calculate_conductance(fermi_energy, h00, h01, length=100):
else:
green_nn_n = green_function_nn_n(fermi_energy, h00, h01, green_nn_n, broadening=0, self_energy=right_self_energy)
green_0n_n = green_function_in_n(green_0n_n, h01, green_nn_n)
right_self_energy = (right_self_energy - right_self_energy.transpose().conj())*(0+1j)
left_self_energy = (left_self_energy - left_self_energy.transpose().conj())*(0+1j)
right_self_energy = (right_self_energy - right_self_energy.transpose().conj())*1j
left_self_energy = (left_self_energy - left_self_energy.transpose().conj())*1j
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
@ -73,4 +73,53 @@ def calculate_conductance_with_fermi_energy_array(fermi_energy_array, h00, h01,
for fermi_energy_0 in fermi_energy_array:
conductance_array[i0] = np.real(calculate_conductance(fermi_energy_0, h00, h01, length))
i0 += 1
return conductance_array
def calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensity=2.0, disorder_density=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:
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)
green_0n_n = copy.deepcopy(green_nn_n)
elif ix != length-1:
green_nn_n = green_function_nn_n(fermi_energy, h00+disorder, h01, green_nn_n, broadening=0)
green_0n_n = green_function_in_n(green_0n_n, h01, green_nn_n)
else:
green_nn_n = green_function_nn_n(fermi_energy, h00+disorder, h01, green_nn_n, broadening=0, self_energy=right_self_energy)
green_0n_n = green_function_in_n(green_0n_n, h01, green_nn_n)
right_self_energy = (right_self_energy - right_self_energy.transpose().conj())*1j
left_self_energy = (left_self_energy - left_self_energy.transpose().conj())*1j
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):
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))
i0 += 1
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]
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))
i0 += 1
return conductance_array
def calculate_conductance_with_scattering_length_array(fermi_energy, h00, h01, length_array, disorder_intensity=2.0, disorder_density=1.0):
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))
i0 += 1
return conductance_array