{"id":13736555,"url":"https://github.com/BYUCamachoLab/emepy","last_synced_at":"2025-05-08T12:33:09.549Z","repository":{"id":36998839,"uuid":"316049029","full_name":"BYUCamachoLab/emepy","owner":"BYUCamachoLab","description":null,"archived":false,"fork":false,"pushed_at":"2022-10-03T21:36:48.000Z","size":44128,"stargazers_count":34,"open_issues_count":16,"forks_count":8,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-11-07T06:12:16.439Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://emepy.rtfd.io","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/BYUCamachoLab.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-11-25T20:40:10.000Z","updated_at":"2024-10-18T09:02:07.000Z","dependencies_parsed_at":"2022-07-20T14:02:52.409Z","dependency_job_id":null,"html_url":"https://github.com/BYUCamachoLab/emepy","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BYUCamachoLab%2Femepy","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BYUCamachoLab%2Femepy/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BYUCamachoLab%2Femepy/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BYUCamachoLab%2Femepy/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/BYUCamachoLab","download_url":"https://codeload.github.com/BYUCamachoLab/emepy/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":224732129,"owners_count":17360416,"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":"2024-08-03T03:01:23.956Z","updated_at":"2024-11-15T04:32:03.658Z","avatar_url":"https://github.com/BYUCamachoLab.png","language":"Python","funding_links":[],"categories":["simulation"],"sub_categories":[],"readme":"# EMEPy 1.2.3 Eigenmode Expansion Tool for Python\n\n\u003cp align=\"center\"\u003e\n    \u003cimg src=\"docs/images/logo.png\" alt=\"drawing\" width=\"500\"/\u003e\n\u003c/p\u003e\n\n\n\n### An open source tool for simulating EM fields in python using the Eigenmode Expansion Method (EME). Employs neural networks as a means for accelerating the cross sectional field profile generation process.\n\n## Installation\n\nClone the repo\n\n    git clone git@github.com:BYUCamachoLab/emepy.git\n\nInstall the development version of emepy using pip:\n\n    pip install -e .\n\nOr collect the most recent publication to pip\n\n    pip install emepy\n\n## Docs\n\nRead the docs [here](https://emepy.readthedocs.io/en/latest/).\n\n## ANN Models\n\nOptionally, the user can download and use our neural networks for fundamental TE generation.\n\nThe neural network models can be found [here](https://byu.box.com/s/xtpp2h8vfwp4l07wdl5559j3vnip5cqj). Simply download the three folders (Hy_chunks, Hx_chunks, neff_pickle) and place them under path/to/repo/emepy/models/ \n\nThis will look like:\n\n    .../emepy/emepy/models/Hy_chunks/\n    .../emepy/emepy/models/Hx_chunks/\n    .../emepy/emepy/models/neff_pickle/\n\n## BibTeX citation\n```\n@article{emepy,\n    author = {Ian M. Hammond and Alec M. Hammond and Ryan M. Camacho},\n    journal = {Opt. Lett.},\n    number = {6},\n    pages = {1383--1386},\n    publisher = {OSA},\n    title = {Deep learning-enhanced, open-source eigenmode expansion},\n    volume = {47},\n    month = {Mar},\n    year = {2022},\n    doi = {10.1364/OL.443664},\n}\n``` \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FBYUCamachoLab%2Femepy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FBYUCamachoLab%2Femepy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FBYUCamachoLab%2Femepy/lists"}