cometscome/4sitesHubbard

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cometscome/4sitesHubbard

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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

TightBinding.jl

This can construct the tight-binding model and calculate energies

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QM

In Japanese. Juliaで学ぶ量子力学

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DLAP2020

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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.

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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

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MC

In Japanese. Juliaで学ぶ古典モンテカルロシミュレーション

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Julianotes

Julia language notes

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]

DFT

実験家のための第一原理計算入門 (in Japanese)

VortexLattice

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).

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JuliaFromFortran

ExactDiagonalization-in-the-Hubbard-model

This calculates the minimum eigenvalue in the Hubbard model with the use of the exact diagonalization method.

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.86.014708

ctaux_Julia

Continuous-time auxiliary-field quantum Monte Carlo method. See, E. Gull et al., EPL 82, 57003 (2008)

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fortran_csr

CSR format in Fortran

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.

TDGL.jl

Time-dependent Ginzburg-Landau simulations

PIMD_with_QE_aenet_Docker

HPhiJulia.jl

Julia wrapper for the HPhi

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:1303.3683

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.86.014708

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OpenMX_Docker

FindingTypeAny.jl

MPIDistributedArrays.jl

DistributedArrays with MPI

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.86.014708

FluxKAN.jl

An easy to use Flux implementation of the Kolmogorov Arnold Network. This is a Julia version of TorchKAN.