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guan-0.0.27

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guanjihuan 2021-11-10 02:43:39 +08:00
parent 8ce0d3a409
commit 4107eb765c
3 changed files with 21 additions and 15 deletions
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8
API_reference.py
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@ -82,10 +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) 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 = 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_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 = guan.calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensity=2.0, disorder_concentration=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_intensity_array(fermi_energy, h00, h01, disorder_intensity_array, disorder_concentration=1.0, length=100, calculation_times=1)
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_disorder_concentration_array(fermi_energy, h00, h01, disorder_concentration_array,disorder_intensity=2.0, length=100, calculation_times=1)
conductance_array = guan.calculate_conductance_with_scattering_length_array(fermi_energy, h00, h01, length_array, disorder_intensity=2.0, disorder_density=1.0) conductance_array = guan.calculate_conductance_with_scattering_length_array(fermi_energy, h00, h01, length_array, disorder_intensity=2.0, disorder_concentration=1.0, calculation_times=1)
# scattering matrix # Source code: https://py.guanjihuan.com/calculate_scattering_matrix # scattering matrix # Source code: https://py.guanjihuan.com/calculate_scattering_matrix
if_active = guan.if_active_channel(k_of_channel) if_active = guan.if_active_channel(k_of_channel)

2
PyPI/setup.cfg
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@ -1,7 +1,7 @@
[metadata] [metadata]
# replace with your username: # replace with your username:
name = guan name = guan
version = 0.0.26 version = 0.0.27
author = guanjihuan author = guanjihuan
author_email = guanjihuan@163.com author_email = guanjihuan@163.com
description = An open source python package description = An open source python package

26
PyPI/src/guan/calculate_conductance.py
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@ -75,13 +75,13 @@ def calculate_conductance_with_fermi_energy_array(fermi_energy_array, h00, h01,
i0 += 1 i0 += 1
return conductance_array 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) right_self_energy, left_self_energy = self_energy_of_lead(fermi_energy, h00, h01)
dim = np.array(h00).shape[0] dim = np.array(h00).shape[0]
for ix in range(length): for ix in range(length):
disorder = np.zeros((dim, dim)) disorder = np.zeros((dim, dim))
for dim0 in range(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) disorder[dim0, dim0] = np.random.uniform(-disorder_intensity, disorder_intensity)
if ix == 0: if ix == 0:
green_nn_n = green_function(fermi_energy, h00+disorder, broadening=0, self_energy=left_self_energy) 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())) 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 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] dim = np.array(disorder_intensity_array).shape[0]
conductance_array = np.zeros(dim) conductance_array = np.zeros(dim)
i0 = 0 i0 = 0
for disorder_intensity_0 in disorder_intensity_array: 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 i0 += 1
conductance_array = conductance_array/calculation_times
return conductance_array return conductance_array
def calculate_conductance_with_disorder_density_array(fermi_energy, h00, h01, disorder_density_array,disorder_intensity=2.0, length=100): 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_density_array).shape[0] dim = np.array(disorder_concentration_array).shape[0]
conductance_array = np.zeros(dim) conductance_array = np.zeros(dim)
i0 = 0 i0 = 0
for disorder_density_0 in disorder_density_array: for disorder_concentration_0 in disorder_concentration_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 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 i0 += 1
conductance_array = conductance_array/calculation_times
return conductance_array 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] dim = np.array(length_array).shape[0]
conductance_array = np.zeros(dim) conductance_array = np.zeros(dim)
i0 = 0 i0 = 0
for length_0 in length_array: 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 i0 += 1
conductance_array = conductance_array/calculation_times
return conductance_array return conductance_array