From 92b73271194722d1a041016bb935be5d32ae8b60 Mon Sep 17 00:00:00 2001 From: guanjihuan Date: Tue, 25 Oct 2022 15:56:00 +0800 Subject: [PATCH] 0.0.151 --- API_Reference.py | 2 ++ PyPI/setup.cfg | 2 +- PyPI/src/guan.egg-info/PKG-INFO | 2 +- PyPI/src/guan/__init__.py | 22 +++++++++++++++++++++- 4 files changed, 25 insertions(+), 3 deletions(-) diff --git a/API_Reference.py b/API_Reference.py index c3cdb51..8ac33e9 100644 --- a/API_Reference.py +++ b/API_Reference.py @@ -218,6 +218,8 @@ conductance = guan.calculate_conductance_with_disorder(fermi_energy, h00, h01, d conductance = guan.calculate_conductance_with_slice_disorder(fermi_energy, h00, h01, disorder_intensity=2.0, disorder_concentration=1.0, length=100) +conductance = guan.calculate_conductance_with_disorder_inside_unit_cell_which_keeps_translational_symmetry(fermi_energy, h00, h01, disorder_intensity=2.0, disorder_concentration=1.0, length=100) + conductance = guan.calculate_conductance_with_random_vacancy(fermi_energy, h00, h01, vacancy_concentration=0.5, vacancy_potential=1e9, 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, print_show=0) diff --git a/PyPI/setup.cfg b/PyPI/setup.cfg index a470533..72e82f0 100644 --- a/PyPI/setup.cfg +++ b/PyPI/setup.cfg @@ -1,7 +1,7 @@ [metadata] # replace with your username: name = guan -version = 0.0.150 +version = 0.0.151 author = guanjihuan author_email = guanjihuan@163.com description = An open source python package diff --git a/PyPI/src/guan.egg-info/PKG-INFO b/PyPI/src/guan.egg-info/PKG-INFO index e67a212..6946c49 100644 --- a/PyPI/src/guan.egg-info/PKG-INFO +++ b/PyPI/src/guan.egg-info/PKG-INFO @@ -1,6 +1,6 @@ Metadata-Version: 2.1 Name: guan -Version: 0.0.150 +Version: 0.0.151 Summary: An open source python package Home-page: https://py.guanjihuan.com Author: guanjihuan diff --git a/PyPI/src/guan/__init__.py b/PyPI/src/guan/__init__.py index be81486..fd8cd17 100644 --- a/PyPI/src/guan/__init__.py +++ b/PyPI/src/guan/__init__.py @@ -2,7 +2,7 @@ # With this package, you can calculate band structures, density of states, quantum transport and topological invariant of tight-binding models by invoking the functions you need. Other frequently used functions are also integrated in this package, such as file reading/writing, figure plotting, data processing. -# The current version is guan-0.0.150, updated on December 22, 2022. +# The current version is guan-0.0.151, updated on December 25, 2022. # Installation: pip install --upgrade guan @@ -1214,6 +1214,26 @@ def calculate_conductance_with_slice_disorder(fermi_energy, h00, h01, disorder_i conductance = np.trace(np.dot(np.dot(np.dot(gamma_left, green_0n_n), gamma_right), green_0n_n.transpose().conj())) return conductance +def calculate_conductance_with_disorder_inside_unit_cell_which_keeps_translational_symmetry(fermi_energy, h00, h01, disorder_intensity=2.0, disorder_concentration=1.0, length=100): + 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] + disorder = np.zeros((dim, dim)) + for dim0 in range(dim): + if np.random.uniform(0, 1)<=disorder_concentration: + disorder[dim0, dim0] = np.random.uniform(-disorder_intensity, disorder_intensity) + for ix in range(length): + if ix == 0: + green_nn_n = guan.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 = 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+disorder, 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 + def calculate_conductance_with_random_vacancy(fermi_energy, h00, h01, vacancy_concentration=0.5, vacancy_potential=1e9, length=100): 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]