{"id":16707448,"url":"https://github.com/cometscome/dmft_withjulia","last_synced_at":"2025-04-10T05:16:33.159Z","repository":{"id":115248124,"uuid":"115318643","full_name":"cometscome/DMFT_withJulia","owner":"cometscome","description":"DMFT with CTQMC. The Dynamical Mean Field Theory (DMFT) with the continuous-time auxiliary-field Quantum Monte Carlo method with Julia 1.0.0. ","archived":false,"fork":false,"pushed_at":"2018-08-09T12:17:34.000Z","size":133,"stargazers_count":20,"open_issues_count":0,"forks_count":3,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-03-24T06:45:14.209Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/cometscome.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2017-12-25T07:52:48.000Z","updated_at":"2024-07-04T09:31:41.000Z","dependencies_parsed_at":null,"dependency_job_id":"9d6ca3c0-d48d-4c68-9023-b60d9bf5e195","html_url":"https://github.com/cometscome/DMFT_withJulia","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cometscome%2FDMFT_withJulia","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cometscome%2FDMFT_withJulia/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cometscome%2FDMFT_withJulia/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cometscome%2FDMFT_withJulia/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/cometscome","download_url":"https://codeload.github.com/cometscome/DMFT_withJulia/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248161284,"owners_count":21057556,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-10-12T19:39:34.321Z","updated_at":"2025-04-10T05:16:33.138Z","avatar_url":"https://github.com/cometscome.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# DMFT_withJulia\n## The Dynamical Mean Field Theory (DMFT) with the continuous-time auxiliary-field Quantum Monte Carlo method with Julia 0.7.0.\nI made the continuous-time auxiliary-field Quantum Monte Carlo (CTAUX) method with Julia (cometscome/ctaux_Julia).\nI also made the numerical analytical continuation with the use of the sparse modeling technique (cometscome/SMAC).\nSo, we can do the DMFT calculation with CTAUX impurity solver with Julia 0.7.0. \n\nThis code calculates the DMFT in the Bethe lattice. \nThe code works in Julia 1.0.0.\n\nNote: This code is a test code. I do not guarantee any results with this code. \nJust play it!\n\n\n*_forv06* files are for Julia 0.6.x. \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcometscome%2Fdmft_withjulia","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcometscome%2Fdmft_withjulia","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcometscome%2Fdmft_withjulia/lists"}