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0.1.71

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guanjihuan 2024-01-04 03:40:53 +08:00
parent 4b60064b17
commit 44c83bb056
3 changed files with 26 additions and 2 deletions
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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 = 0.1.70 version = 0.1.71
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

2
PyPI/src/guan.egg-info/PKG-INFO
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@ -1,6 +1,6 @@
Metadata-Version: 2.1 Metadata-Version: 2.1
Name: guan Name: guan
Version: 0.1.70 Version: 0.1.71
Summary: An open source python package Summary: An open source python package
Home-page: https://py.guanjihuan.com Home-page: https://py.guanjihuan.com
Author: guanjihuan Author: guanjihuan

24
PyPI/src/guan/quantum_transport.py
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@ -89,6 +89,30 @@ def calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensi
conductance_averaged = conductance_averaged/calculation_times conductance_averaged = conductance_averaged/calculation_times
return conductance_averaged return conductance_averaged
# 计算在无序散射下的电导（需要输入无序数组）
@guan.statistics_decorator
def calculate_conductance_with_disorder_array(fermi_energy, h00, h01, disorder_array, length=100):
import numpy as np
import copy
import guan
right_self_energy, left_self_energy, gamma_right, gamma_left = guan.self_energy_of_lead(fermi_energy, h00, h01)
dim = np.array(h00).shape[0]
for ix in range(length+2):
if ix == 0:
green_nn_n = guan.green_function(fermi_energy, h00, broadening=0, self_energy=left_self_energy)
green_0n_n = copy.deepcopy(green_nn_n)
elif ix != length+1:
i0 = 0
disorder = disorder_array[i0*dim:(i0+1)*dim]
i0 += 1
green_nn_n = guan.green_function_nn_n(fermi_energy, h00+disorder, h01, green_nn_n, broadening=0)
green_0n_n = guan.green_function_in_n(green_0n_n, h01, green_nn_n)
else:
green_nn_n = guan.green_function_nn_n(fermi_energy, h00, h01, green_nn_n, broadening=0, self_energy=right_self_energy)
green_0n_n = guan.green_function_in_n(green_0n_n, h01, green_nn_n)
conductance = np.trace(np.dot(np.dot(np.dot(gamma_left, green_0n_n), gamma_right), green_0n_n.transpose().conj()))
return conductance
# 计算在无序垂直切片的散射下的电导 # 计算在无序垂直切片的散射下的电导
@guan.statistics_decorator @guan.statistics_decorator
def calculate_conductance_with_slice_disorder(fermi_energy, h00, h01, disorder_intensity=2.0, disorder_concentration=1.0, length=100): def calculate_conductance_with_slice_disorder(fermi_energy, h00, h01, disorder_intensity=2.0, disorder_concentration=1.0, length=100):