{"id":20520281,"url":"https://github.com/plasmacontrol/tearingavoidance","last_synced_at":"2025-03-06T00:19:16.150Z","repository":{"id":225364549,"uuid":"765766598","full_name":"PlasmaControl/TearingAvoidance","owner":"PlasmaControl","description":"The Python scripts for training the ML models for tearing prediction \u0026 avoidance","archived":false,"fork":false,"pushed_at":"2024-03-14T15:56:05.000Z","size":1345,"stargazers_count":3,"open_issues_count":0,"forks_count":2,"subscribers_count":7,"default_branch":"main","last_synced_at":"2025-01-16T10:32:34.704Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"PureBasic","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/PlasmaControl.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":"2024-03-01T15:19:20.000Z","updated_at":"2024-12-16T09:30:03.000Z","dependencies_parsed_at":"2024-03-04T05:03:58.927Z","dependency_job_id":"a974cca3-3156-4d9c-9cec-d5c6f05d4e4b","html_url":"https://github.com/PlasmaControl/TearingAvoidance","commit_stats":null,"previous_names":["plasmacontrol/tearingavoidance"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PlasmaControl%2FTearingAvoidance","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PlasmaControl%2FTearingAvoidance/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PlasmaControl%2FTearingAvoidance/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PlasmaControl%2FTearingAvoidance/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/PlasmaControl","download_url":"https://codeload.github.com/PlasmaControl/TearingAvoidance/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242123546,"owners_count":20075383,"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":"2024-11-15T22:18:58.293Z","updated_at":"2025-03-06T00:19:16.132Z","avatar_url":"https://github.com/PlasmaControl.png","language":"PureBasic","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Tearing Avoidance Control\n- Tearing mode instability is the leading cause of plasma disruption in a tokamak.\n- This repository provides the Python scripts for training the ML models:\\\n  (1) Tearing mode prediction model using deep learning\\\n  (2) Tearing mode avoidance model using deep reinforcement learning\n\n# Note\n- Some scripts need experimental data from DIII-D, which are not available from this repository.   To access DIII-D data, you should become a DIII-D user, per the instructions at https://d3dfusion.org/become-a-user/ .\n\n# References\n- J. Seo et al., \"Avoiding fusion plasma tearing instability with deep reinforcement learning.\" Nature [626 (2024): 746.](https://www.nature.com/articles/s41586-024-07024-9)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fplasmacontrol%2Ftearingavoidance","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fplasmacontrol%2Ftearingavoidance","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fplasmacontrol%2Ftearingavoidance/lists"}