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Yuki Nagai (@cometscome)

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252
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Followers 93
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Registered about 8 years ago
Most used languages

Jupyter Notebook
41.7 %

Julia
29.2 %

Python
12.5 %

Dockerfile
8.3 %

C++
4.2 %

Fortran
4.2 %

TightBinding.jl

This can construct the tight-binding model and calculate energies

Jupyter Notebook

QM

In Japanese. Juliaで学ぶ量子力学

Jupyter Notebook

DLAP2020

Jupyter Notebook

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

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

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

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).

Jupyter Notebook

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)

Jupyter Notebook

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

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

Jupyter Notebook

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.