-
Stars5
-
Rank 2,845,007 (Top 57 %)
-
LanguageJupyter Notebook
-
Created over 6 years ago
-
Updated over 2 years ago
Reviews
There are no reviews yet. Be the first to send feedback to the community and the maintainers!
Repository Details
Chebyshev polynomial method for the Bogoliubov-de Gennes equations in the s-wave superconductor with a vortex lattice with Julia 1.0.0. See, Y. Nagai, Y. Ota and M. Machida, J. Phys. Soc. Jpn. 81, 024710 (2012).
More Repositories
1
TightBinding.jl
This can construct the tight-binding model and calculate energiesJupyter Notebook
64
2
QM
In Japanese. Juliaで学ぶ量子力学Jupyter Notebook
62
3
DLAP2020
Jupyter Notebook
23
4
DMFT_withJulia
DMFT with CTQMC. The Dynamical Mean Field Theory (DMFT) with the continuous-time auxiliary-field Quantum Monte Carlo method with Julia 1.0.0.Jupyter Notebook
17
5
TightBinding
In Japanese. Juliaで学ぶタイトバインディング模型とトポロジカル物質Jupyter Notebook
13
6
MC
In Japanese. Juliaで学ぶ古典モンテカルロシミュレーションJupyter Notebook
10
7
Julianotes
Julia language notes
7
8
ChebyshevPolynomialBdG
This solves the Bogoliubov-de Gennes equations and gap equations in the s-wave superconductor with the use of the Chebyshev polynomial method. See, Y. Nagai, Y. Ota and M. Machida [arXiv:1105.4939 or DOI:10.1143/JPSJ.81.024710]Python
7
9
DFT
実験家のための第一原理計算入門 (in Japanese)
6
10
JuliaFromFortran
4
11
ExactDiagonalization-in-the-Hubbard-model
This calculates the minimum eigenvalue in the Hubbard model with the use of the exact diagonalization method.Python
4
12
RSCG
This solves the Bogoliubov-de Gennes equations and gap equations in the s-wave superconductor with the use of the Reduced-Shifted Conjugate-Gradient Method method. See, Y. Nagai, Y. Shinohara, Y. Futamura, and T. Sakurai,[arXiv:1607.03992v2 or DOI:10.7566/JPSJ.86.014708]. http://dx.doi.org/10.7566/JPSJ.86.014708Python
4
13
ctaux_Julia
Continuous-time auxiliary-field quantum Monte Carlo method. See, E. Gull et al., EPL 82, 57003 (2008)Jupyter Notebook
3
14
4sitesHubbard
4サイトフェルミオンハバード模型を色々な手法で解くJupyter Notebook
3
15
fortran_csr
CSR format in FortranFortran
3
16
ExactDiagonalization_with_Julia
Exact Diagonalization in the Hubbard model with Julia 1.0.3. We use the LOBPCG method to diagonalize the Hamiltonian. The particle number is fixed.Julia
3
17
TDGL.jl
Time-dependent Ginzburg-Landau simulationsJulia
2
18
PIMD_with_QE_aenet_Docker
Dockerfile
2
19
HPhiJulia.jl
Julia wrapper for the HPhiJulia
2
20
SSwithJulia
Sakurai-Sugiura method to obtain the eigenvalues located in a given domain with Julia 1.0.0. See, T. Sakurai and H. Sugiura: J. Comput. Appl. Math. 159 (2003) 119. and "Numerical Construction of a Low-Energy Effective Hamiltonian in a Self-Consistent Bogoliubov–de Gennes Approach of Superconductivity", Yuki Nagai et al., J. Phys. Soc. Jpn. 82, 094701 (2013) or arXiv:1303.3683Julia
2
21
RSCG_Julia
This solves the Bogoliubov-de Gennes equations and gap equations in the s-wave superconductor with the use of the Reduced-Shifted Conjugate-Gradient Method method. See, Y. Nagai, Y. Shinohara, Y. Futamura, and T. Sakurai,[arXiv:1607.03992v2 or DOI:10.7566/JPSJ.86.014708]. http://dx.doi.org/10.7566/JPSJ.86.014708Jupyter Notebook
2
22
OpenMX_Docker
Dockerfile
1
23
FindingTypeAny.jl
Julia
1
24
MPIDistributedArrays.jl
DistributedArrays with MPIJulia
1
25
BdG_cpp
This solves the Bogoliubov-de Gennes equations and gap equations in the s-wave superconductor with the use of the Reduced-Shifted Conjugate-Gradient Method method. See, Y. Nagai, Y. Shinohara, Y. Futamura, and T. Sakurai,[arXiv:1607.03992v2 or DOI:10.7566/JPSJ.86.014708]. http://dx.doi.org/10.7566/JPSJ.86.014708C++
1
26
FluxKAN.jl
An easy to use Flux implementation of the Kolmogorov Arnold Network. This is a Julia version of TorchKAN.Julia
1