0.1.97
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[metadata]
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[metadata]
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# replace with your username:
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# replace with your username:
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name = guan
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name = guan
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version = 0.1.96
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version = 0.1.97
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author = guanjihuan
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author = guanjihuan
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author_email = guanjihuan@163.com
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author_email = guanjihuan@163.com
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description = An open source python package
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description = An open source python package
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Metadata-Version: 2.1
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Metadata-Version: 2.1
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Name: guan
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Name: guan
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Version: 0.1.96
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Version: 0.1.97
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Summary: An open source python package
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Summary: An open source python package
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Home-page: https://py.guanjihuan.com
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Home-page: https://py.guanjihuan.com
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Author: guanjihuan
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Author: guanjihuan
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@ -49,6 +49,10 @@ def transfer_matrix(fermi_energy, h00, h01):
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else:
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else:
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dim = np.array(h00).shape[0]
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dim = np.array(h00).shape[0]
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transfer = np.zeros((2*dim, 2*dim), dtype=complex)
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transfer = np.zeros((2*dim, 2*dim), dtype=complex)
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if dim == 1:
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transfer[0:dim, 0:dim] = np.dot(1/h01, fermi_energy*np.identity(dim)-h00)
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transfer[0:dim, dim:2*dim] = np.dot(-1/h01, h01.transpose().conj())
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else:
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transfer[0:dim, 0:dim] = np.dot(np.linalg.inv(h01), fermi_energy*np.identity(dim)-h00)
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transfer[0:dim, 0:dim] = np.dot(np.linalg.inv(h01), fermi_energy*np.identity(dim)-h00)
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transfer[0:dim, dim:2*dim] = np.dot(-1*np.linalg.inv(h01), h01.transpose().conj())
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transfer[0:dim, dim:2*dim] = np.dot(-1*np.linalg.inv(h01), h01.transpose().conj())
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transfer[dim:2*dim, 0:dim] = np.identity(dim)
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transfer[dim:2*dim, 0:dim] = np.identity(dim)
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@ -15,6 +15,12 @@ def preprocess_for_parallel_calculations(parameter_array_all, task_num=1, task_i
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parameter_array = parameter_array_all[task_index*num_parameter:num_all]
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parameter_array = parameter_array_all[task_index*num_parameter:num_all]
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return parameter_array
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return parameter_array
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# 判断一个数是否接近于整数
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def close_to_integer(value, abs_tol=1e-3):
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import math
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result = math.isclose(value, round(value), abs_tol=abs_tol)
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return result
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# 根据子数组的第index个元素对子数组进行排序(index从0开始)
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# 根据子数组的第index个元素对子数组进行排序(index从0开始)
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def sort_array_by_index_element(original_array, index):
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def sort_array_by_index_element(original_array, index):
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sorted_array = sorted(original_array, key=lambda x: x[index])
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sorted_array = sorted(original_array, key=lambda x: x[index])
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@ -16,6 +16,10 @@ def calculate_conductance(fermi_energy, h00, h01, length=100):
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green_nn_n = guan.green_function_nn_n(fermi_energy, h00, h01, green_nn_n, broadening=0, self_energy=right_self_energy)
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green_nn_n = guan.green_function_nn_n(fermi_energy, h00, h01, green_nn_n, broadening=0, self_energy=right_self_energy)
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green_0n_n = guan.green_function_in_n(green_0n_n, h01, green_nn_n)
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green_0n_n = guan.green_function_in_n(green_0n_n, h01, green_nn_n)
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dim = np.array(h00).shape[0]
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if dim == 1:
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conductance = np.dot(np.dot(np.dot(gamma_left, green_0n_n), gamma_right), green_0n_n.transpose().conj())
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else:
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conductance = np.trace(np.dot(np.dot(np.dot(gamma_left, green_0n_n), gamma_right), green_0n_n.transpose().conj()))
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conductance = np.trace(np.dot(np.dot(np.dot(gamma_left, green_0n_n), gamma_right), green_0n_n.transpose().conj()))
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return conductance
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return conductance
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@ -53,6 +57,9 @@ def calculate_conductance_with_barrier(fermi_energy, h00, h01, length=100, barri
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green_nn_n = guan.green_function_nn_n(fermi_energy, h00, h01, green_nn_n, broadening=0, self_energy=right_self_energy)
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green_nn_n = guan.green_function_nn_n(fermi_energy, h00, h01, green_nn_n, broadening=0, self_energy=right_self_energy)
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green_0n_n = guan.green_function_in_n(green_0n_n, h01, green_nn_n)
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green_0n_n = guan.green_function_in_n(green_0n_n, h01, green_nn_n)
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if dim == 1:
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conductance = np.dot(np.dot(np.dot(gamma_left, green_0n_n), gamma_right), green_0n_n.transpose().conj())
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else:
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conductance = np.trace(np.dot(np.dot(np.dot(gamma_left, green_0n_n), gamma_right), green_0n_n.transpose().conj()))
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conductance = np.trace(np.dot(np.dot(np.dot(gamma_left, green_0n_n), gamma_right), green_0n_n.transpose().conj()))
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return conductance
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return conductance
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@ -79,6 +86,9 @@ def calculate_conductance_with_disorder(fermi_energy, h00, h01, disorder_intensi
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green_nn_n = guan.green_function_nn_n(fermi_energy, h00, h01, green_nn_n, broadening=0, self_energy=right_self_energy)
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green_nn_n = guan.green_function_nn_n(fermi_energy, h00, h01, green_nn_n, broadening=0, self_energy=right_self_energy)
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green_0n_n = guan.green_function_in_n(green_0n_n, h01, green_nn_n)
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green_0n_n = guan.green_function_in_n(green_0n_n, h01, green_nn_n)
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if dim == 1:
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conductance = np.dot(np.dot(np.dot(gamma_left, green_0n_n), gamma_right), green_0n_n.transpose().conj())
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else:
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conductance = np.trace(np.dot(np.dot(np.dot(gamma_left, green_0n_n), gamma_right), green_0n_n.transpose().conj()))
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conductance = np.trace(np.dot(np.dot(np.dot(gamma_left, green_0n_n), gamma_right), green_0n_n.transpose().conj()))
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conductance_averaged += conductance
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conductance_averaged += conductance
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conductance_averaged = conductance_averaged/calculation_times
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conductance_averaged = conductance_averaged/calculation_times
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@ -104,6 +114,9 @@ def calculate_conductance_with_disorder_array(fermi_energy, h00, h01, disorder_a
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green_nn_n = guan.green_function_nn_n(fermi_energy, h00, h01, green_nn_n, broadening=0, self_energy=right_self_energy)
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green_nn_n = guan.green_function_nn_n(fermi_energy, h00, h01, green_nn_n, broadening=0, self_energy=right_self_energy)
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green_0n_n = guan.green_function_in_n(green_0n_n, h01, green_nn_n)
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green_0n_n = guan.green_function_in_n(green_0n_n, h01, green_nn_n)
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if dim == 1:
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conductance = np.dot(np.dot(np.dot(gamma_left, green_0n_n), gamma_right), green_0n_n.transpose().conj())
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else:
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conductance = np.trace(np.dot(np.dot(np.dot(gamma_left, green_0n_n), gamma_right), green_0n_n.transpose().conj()))
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conductance = np.trace(np.dot(np.dot(np.dot(gamma_left, green_0n_n), gamma_right), green_0n_n.transpose().conj()))
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return conductance
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return conductance
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@ -127,6 +140,9 @@ def calculate_conductance_with_slice_disorder(fermi_energy, h00, h01, disorder_i
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green_nn_n = guan.green_function_nn_n(fermi_energy, h00, h01, green_nn_n, broadening=0, self_energy=right_self_energy)
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green_nn_n = guan.green_function_nn_n(fermi_energy, h00, h01, green_nn_n, broadening=0, self_energy=right_self_energy)
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green_0n_n = guan.green_function_in_n(green_0n_n, h01, green_nn_n)
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green_0n_n = guan.green_function_in_n(green_0n_n, h01, green_nn_n)
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if dim == 1:
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conductance = np.dot(np.dot(np.dot(gamma_left, green_0n_n), gamma_right), green_0n_n.transpose().conj())
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else:
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conductance = np.trace(np.dot(np.dot(np.dot(gamma_left, green_0n_n), gamma_right), green_0n_n.transpose().conj()))
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conductance = np.trace(np.dot(np.dot(np.dot(gamma_left, green_0n_n), gamma_right), green_0n_n.transpose().conj()))
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return conductance
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return conductance
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@ -151,6 +167,9 @@ def calculate_conductance_with_disorder_inside_unit_cell_which_keeps_translation
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green_nn_n = guan.green_function_nn_n(fermi_energy, h00, h01, green_nn_n, broadening=0, self_energy=right_self_energy)
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green_nn_n = guan.green_function_nn_n(fermi_energy, h00, h01, green_nn_n, broadening=0, self_energy=right_self_energy)
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green_0n_n = guan.green_function_in_n(green_0n_n, h01, green_nn_n)
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green_0n_n = guan.green_function_in_n(green_0n_n, h01, green_nn_n)
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if dim == 1:
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conductance = np.dot(np.dot(np.dot(gamma_left, green_0n_n), gamma_right), green_0n_n.transpose().conj())
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else:
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conductance = np.trace(np.dot(np.dot(np.dot(gamma_left, green_0n_n), gamma_right), green_0n_n.transpose().conj()))
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conductance = np.trace(np.dot(np.dot(np.dot(gamma_left, green_0n_n), gamma_right), green_0n_n.transpose().conj()))
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return conductance
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return conductance
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@ -175,6 +194,9 @@ def calculate_conductance_with_random_vacancy(fermi_energy, h00, h01, vacancy_co
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green_nn_n = guan.green_function_nn_n(fermi_energy, h00, h01, green_nn_n, broadening=0, self_energy=right_self_energy)
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green_nn_n = guan.green_function_nn_n(fermi_energy, h00, h01, green_nn_n, broadening=0, self_energy=right_self_energy)
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green_0n_n = guan.green_function_in_n(green_0n_n, h01, green_nn_n)
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green_0n_n = guan.green_function_in_n(green_0n_n, h01, green_nn_n)
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if dim == 1:
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conductance = np.dot(np.dot(np.dot(gamma_left, green_0n_n), gamma_right), green_0n_n.transpose().conj())
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else:
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conductance = np.trace(np.dot(np.dot(np.dot(gamma_left, green_0n_n), gamma_right), green_0n_n.transpose().conj()))
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conductance = np.trace(np.dot(np.dot(np.dot(gamma_left, green_0n_n), gamma_right), green_0n_n.transpose().conj()))
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return conductance
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return conductance
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