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Yuki Nagai's Projects

4siteshubbard icon 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

aenet icon aenet

Atomic interaction potentials based on artificial neural networks

algremez.jl icon algremez.jl

AlgRemez.jl is a Julia wrapper for AlgRemez written in c++

bdg_cpp icon 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

chebyshevpolynomialbdg icon 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]

ctaux_julia icon ctaux_julia

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

dft icon dft

実験家のための第一原理計算入門 (in Japanese)

dmft_withjulia icon 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.

exactdiagonalization_with_julia icon 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.

fast-kan icon fast-kan

FastKAN: Very Fast Implementation of Kolmogorov-Arnold Networks (KAN)

fluxkan.jl icon fluxkan.jl

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

hphi icon hphi

Quantum Lattice Model Simulator Package

lkvector_sample icon lkvector_sample

This is sample Julia code set with LkBdG method proposed by the paper https://journals.jps.jp/doi/10.7566/JPSJ.89.074703

mc icon 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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