0.0.86
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| Guan is an open-source python package developed and maintained by https://www.guanjihuan.com/about. The primary location of this package is on website https://py.guanjihuan.com. | ||||
| Guan is an open-source python package developed and maintained by https://www.guanjihuan.com/about. The primary location of this package is on website https://py.guanjihuan.com. 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. | ||||
| @@ -1,10 +1,10 @@ | ||||
| [metadata] | ||||
| # replace with your username: | ||||
| name = guan | ||||
| version = 0.0.85 | ||||
| version = 0.0.86 | ||||
| author = guanjihuan | ||||
| author_email = guanjihuan@163.com | ||||
| description = Guan is an open-source python package developed and maintained by https://www.guanjihuan.com/about. The primary location of this package is on website https://py.guanjihuan.com. 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. | ||||
| description = An open source python package | ||||
| long_description = file: README.md | ||||
| long_description_content_type = text/markdown | ||||
| url = https://py.guanjihuan.com | ||||
|   | ||||
| @@ -109,7 +109,9 @@ hamiltonian = guan.hamiltonian_of_finite_size_system_along_two_directions_for_sq | ||||
|  | ||||
| hamiltonian = guan.hamiltonian_of_finite_size_system_along_three_directions_for_cubic_lattice(N1, N2, N3, on_site=0, hopping_1=1, hopping_2=1, hopping_3=1, period_1=0, period_2=0, period_3=0) | ||||
|  | ||||
| hopping = guan.hopping_matrix_along_zigzag_direction_for_graphene_ribbon(N) | ||||
| hamiltonian = guan.hamiltonian_of_finite_size_SSH_model(N, v=0.6, w=1, onsite_1=0, onsite_2=0, period=1) | ||||
|  | ||||
| hopping = guan.hopping_matrix_along_zigzag_direction_for_graphene_ribbon(N, eta=0) | ||||
|  | ||||
| hamiltonian = guan.hamiltonian_of_finite_size_system_along_two_directions_for_graphene(N1, N2, period_1=0, period_2=0) | ||||
|  | ||||
| @@ -609,9 +611,28 @@ def hamiltonian_of_finite_size_system_along_three_directions_for_cubic_lattice(N | ||||
|                 hamiltonian[i1*N2*N3*dim+i2*N3*dim+0:i1*N2*N3*dim+i2*N3*dim+dim, i1*N2*N3*dim+i2*N3*dim+(N3-1)*dim+0:i1*N2*N3*dim+i2*N3*dim+(N3-1)*dim+dim] = hopping_3.transpose().conj() | ||||
|     return hamiltonian | ||||
|  | ||||
| def hopping_matrix_along_zigzag_direction_for_graphene_ribbon(N): | ||||
| def hamiltonian_of_finite_size_SSH_model(N, v=0.6, w=1, onsite_1=0, onsite_2=0, period=1): | ||||
|     hamiltonian = np.zeros((2*N, 2*N)) | ||||
|     for i in range(N): | ||||
|         hamiltonian[i*2+0, i*2+0] = onsite_1 | ||||
|         hamiltonian[i*2+1, i*2+1] = onsite_2 | ||||
|         hamiltonian[i*2+0, i*2+1] = v | ||||
|         hamiltonian[i*2+1, i*2+0] = v | ||||
|     for i in range(N-1): | ||||
|         hamiltonian[i*2+1, (i+1)*2+0] = w | ||||
|         hamiltonian[(i+1)*2+0, i*2+1] = w | ||||
|     if period==1: | ||||
|         hamiltonian[0, 2*N-1] = w | ||||
|         hamiltonian[2*N-1, 0] = w | ||||
|     return hamiltonian | ||||
|  | ||||
| def hopping_matrix_along_zigzag_direction_for_graphene_ribbon(N, eta=0): | ||||
|     hopping = np.zeros((4*N, 4*N), dtype=complex) | ||||
|     for i0 in range(N): | ||||
|         hopping[4*i0+0, 4*i0+0] = eta | ||||
|         hopping[4*i0+1, 4*i0+1] = eta | ||||
|         hopping[4*i0+2, 4*i0+2] = eta | ||||
|         hopping[4*i0+3, 4*i0+3] = eta | ||||
|         hopping[4*i0+1, 4*i0+0] = 1 | ||||
|         hopping[4*i0+2, 4*i0+3] = 1 | ||||
|     return hopping | ||||
|   | ||||
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