guan-0.0.24
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		| @@ -74,6 +74,7 @@ local_dos = guan.local_density_of_states_for_square_lattice(fermi_energy, hamilt | ||||
| local_dos = guan.local_density_of_states_for_cubic_lattice(fermi_energy, hamiltonian, N1, N2, N3, internal_degree=1, broadening=0.01) | ||||
| local_dos = guan.local_density_of_states_for_square_lattice_using_dyson_equation(fermi_energy, h00, h01, N2, N1, internal_degree=1, broadening=0.01) | ||||
| local_dos = guan.local_density_of_states_for_cubic_lattice_using_dyson_equation(fermi_energy, h00, h01, N3, N2, N1, internal_degree=1, broadening=0.01) | ||||
| local_dos = local_density_of_states_for_square_lattice_with_self_energy_using_dyson_equation(fermi_energy, h00, h01, N2, N1, right_self_energy, left_self_energy, internal_degree=1, broadening=0.01) | ||||
|  | ||||
| # calculate conductance    # Source code: https://py.guanjihuan.com/calculate_conductance | ||||
| transfer = guan.transfer_matrix(fermi_energy, h00, h01) | ||||
|   | ||||
| @@ -1,7 +1,7 @@ | ||||
| [metadata] | ||||
| # replace with your username: | ||||
| name = guan | ||||
| version = 0.0.23 | ||||
| version = 0.0.24 | ||||
| author = guanjihuan | ||||
| author_email = guanjihuan@163.com | ||||
| description = An open source python package | ||||
|   | ||||
| @@ -101,3 +101,39 @@ def local_density_of_states_for_cubic_lattice_using_dyson_equation(fermi_energy, | ||||
|                 for i in range(internal_degree): | ||||
|                     local_dos[i3, i2, i1] = local_dos[i3, i2, i1] -np.imag(green_ii_n_minus[i2*N3*internal_degree+i3*internal_degree+i, i2*N3*internal_degree+i3*internal_degree+i])/pi        | ||||
|     return local_dos | ||||
|  | ||||
| def local_density_of_states_for_square_lattice_with_self_energy_using_dyson_equation(fermi_energy, h00, h01, N2, N1, right_self_energy, left_self_energy, internal_degree=1, broadening=0.01): | ||||
|     # dim_h00 = N2*internal_degree | ||||
|     local_dos = np.zeros((N2, N1)) | ||||
|     green_11_1 = green_function(fermi_energy, h00+left_self_energy, broadening) | ||||
|     for i1 in range(N1): | ||||
|         green_nn_n_minus = green_11_1 | ||||
|         green_in_n_minus = green_11_1 | ||||
|         green_ni_n_minus = green_11_1 | ||||
|         green_ii_n_minus = green_11_1 | ||||
|         for i2_0 in range(i1): | ||||
|             if i2_0 == N1-1-1: | ||||
|                 green_nn_n = green_function_nn_n(fermi_energy, h00+right_self_energy, h01, green_nn_n_minus, broadening) | ||||
|             else: | ||||
|                 green_nn_n = green_function_nn_n(fermi_energy, h00, h01, green_nn_n_minus, broadening) | ||||
|             green_nn_n_minus = green_nn_n | ||||
|         if i1!=0: | ||||
|             green_in_n_minus = green_nn_n | ||||
|             green_ni_n_minus = green_nn_n | ||||
|             green_ii_n_minus = green_nn_n | ||||
|         for size_0 in range(N1-1-i1): | ||||
|             if size_0 == N1-1-i1-1: | ||||
|                 green_nn_n = green_function_nn_n(fermi_energy, h00+right_self_energy, h01, green_nn_n_minus, broadening) | ||||
|             else: | ||||
|                 green_nn_n = green_function_nn_n(fermi_energy, h00, h01, green_nn_n_minus, broadening) | ||||
|             green_nn_n_minus = green_nn_n | ||||
|             green_ii_n = green_function_ii_n(green_ii_n_minus, green_in_n_minus, h01, green_nn_n, green_ni_n_minus) | ||||
|             green_ii_n_minus = green_ii_n | ||||
|             green_in_n = green_function_in_n(green_in_n_minus, h01, green_nn_n) | ||||
|             green_in_n_minus = green_in_n | ||||
|             green_ni_n = green_function_ni_n(green_nn_n, h01, green_ni_n_minus) | ||||
|             green_ni_n_minus = green_ni_n | ||||
|         for i2 in range(N2): | ||||
|             for i in range(internal_degree): | ||||
|                 local_dos[i2, i1] = local_dos[i2, i1] - np.imag(green_ii_n_minus[i2*internal_degree+i, i2*internal_degree+i])/pi | ||||
|     return local_dos | ||||
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