Pinned Repositories
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)
DLAP2020
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-in-the-Hubbard-model
This calculates the minimum eigenvalue in the Hubbard model with the use of the exact diagonalization method.
FluxKAN.jl
An easy to use Flux implementation of the Kolmogorov Arnold Network. This is a Julia version of TorchKAN.
MC
In Japanese. Juliaで学ぶ古典モンテカルロシミュレーション
QM
In Japanese. Juliaで学ぶ量子力学
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
TightBinding.jl
This can construct the tight-binding model and calculate energies
cometscome's Repositories
cometscome/TightBinding.jl
This can construct the tight-binding model and calculate energies
cometscome/DLAP2020
cometscome/FluxKAN.jl
An easy to use Flux implementation of the Kolmogorov Arnold Network. This is a Julia version of TorchKAN.
cometscome/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
cometscome/QuadraticHamiltonians.jl
cometscome/ctaux_Julia
Continuous-time auxiliary-field quantum Monte Carlo method. See, E. Gull et al., EPL 82, 57003 (2008)
cometscome/fortran_csr
CSR format in Fortran
cometscome/PIMD_with_QE_aenet_Docker
cometscome/fast-kan
FastKAN: Very Fast Implementation of Kolmogorov-Arnold Networks (KAN)
cometscome/FindingTypeAny.jl
cometscome/Lattice-Tool-Kit
a collection of fundamental/essential codes for lattice QCD simulations
cometscome/OpenMX_Docker
cometscome/YukiNagai
Web site
cometscome/aenet-PyTorch
ænet-PyTorch: a GPU-supported implementation for machine learning atomic potentials training
cometscome/AenetLux.jl
cometscome/awesome-kan
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
cometscome/basic_language_comparison
cometscome/dataforsummerstudents
cometscome/IroIro_Docker
Docker file for IroIro++
cometscome/Juliafulidtest
cometscome/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
cometscome/nequip
NequIP is a code for building E(3)-equivariant interatomic potentials
cometscome/PIMDtools.jl
Tools for PIMD
cometscome/RSCG.jl
The Reduced-Shifted Conjugate-Gradient Method method to calculate the element of the Green's function matrix. 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
cometscome/torchkan
An easy to use PyTorch implementation of the Kolmogorov Arnold Network and a few novel variations
cometscome/Wiltingerderivative.jl
cometscome/XSFreader.jl
cometscome/Yggdrasil
Collection of builder repositories for BinaryBuilder.jl
cometscome/ZPares.jl
cometscome/zpares_mirror
This is a copy of the file that downloaded from https://zpares.cs.tsukuba.ac.jp