Name | reacnet JSON |
Version |
0.0.4
JSON |
| download |
home_page | None |
Summary | a tool for building reactor network based on omnisoot and Cantera |
upload_time | 2024-09-04 14:41:16 |
maintainer | None |
docs_url | None |
author | None |
requires_python | >=3.7 |
license | None |
keywords |
computational
chemical kinetics
soot
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# reacnet
This is a toolset for building reactor networks based on omnisoot and Cantera. The current elements include tanks, flow reactors and mixers that can be connected to provide a simple representation of industrial reactors and turbines enabling tracking gas chemistry and soot properties.
Raw data
{
"_id": null,
"home_page": null,
"name": "reacnet",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.7",
"maintainer_email": null,
"keywords": "computational, chemical kinetics, soot",
"author": null,
"author_email": "Mo Adib <moademic@gmail.com>",
"download_url": "https://files.pythonhosted.org/packages/70/f0/0f2b1bf0111ab30e5d19f25669fbdd11105e19fecd3b79e77a6b1123a751/reacnet-0.0.4.tar.gz",
"platform": null,
"description": "# reacnet\r\n\r\nThis is a toolset for building reactor networks based on omnisoot and Cantera. The current elements include tanks, flow reactors and mixers that can be connected to provide a simple representation of industrial reactors and turbines enabling tracking gas chemistry and soot properties. \r\n",
"bugtrack_url": null,
"license": null,
"summary": "a tool for building reactor network based on omnisoot and Cantera",
"version": "0.0.4",
"project_urls": {
"Homepage": "https://carleton.ca/eptl/people/336/"
},
"split_keywords": [
"computational",
" chemical kinetics",
" soot"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "5ae913ff807818de2b2c9f8bc399499654eeb9e7dbea4d788beca9ee8ca63d24",
"md5": "15435413ed29fc1d89f6f3f3ce57d13a",
"sha256": "e3382e2bbd218928f1c211694bf2429fe99c351019267a5c4adf1d4b23cc19ac"
},
"downloads": -1,
"filename": "reacnet-0.0.4-py3-none-any.whl",
"has_sig": false,
"md5_digest": "15435413ed29fc1d89f6f3f3ce57d13a",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.7",
"size": 5737,
"upload_time": "2024-09-04T14:41:15",
"upload_time_iso_8601": "2024-09-04T14:41:15.375829Z",
"url": "https://files.pythonhosted.org/packages/5a/e9/13ff807818de2b2c9f8bc399499654eeb9e7dbea4d788beca9ee8ca63d24/reacnet-0.0.4-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "70f00f2b1bf0111ab30e5d19f25669fbdd11105e19fecd3b79e77a6b1123a751",
"md5": "9ed53c76aca36ab832fd59685df6985f",
"sha256": "0b8f407fb5d92e2f7a2751c4478418a4829ec1bcce0364c125790c28f0ea87e0"
},
"downloads": -1,
"filename": "reacnet-0.0.4.tar.gz",
"has_sig": false,
"md5_digest": "9ed53c76aca36ab832fd59685df6985f",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.7",
"size": 4269,
"upload_time": "2024-09-04T14:41:16",
"upload_time_iso_8601": "2024-09-04T14:41:16.838660Z",
"url": "https://files.pythonhosted.org/packages/70/f0/0f2b1bf0111ab30e5d19f25669fbdd11105e19fecd3b79e77a6b1123a751/reacnet-0.0.4.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-09-04 14:41:16",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "reacnet"
}