{"id":20446938,"url":"https://github.com/dyk-team/qi-1_thruster","last_synced_at":"2026-04-28T09:37:08.766Z","repository":{"id":175931250,"uuid":"546379111","full_name":"DYK-Team/QI-1_thruster","owner":"DYK-Team","description":"Programmable high-voltage DC/DC converter based on Raspberry Pi 4B. For a DARPA project HR001118C0125 on the quantised inertia (QI).","archived":false,"fork":false,"pushed_at":"2024-11-12T20:08:02.000Z","size":62046,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-06-28T08:52:31.022Z","etag":null,"topics":["adc","automation","automation-testing","darpa","high-voltage","python","quantised-inertia","raspberry-pi","voltage-regulator"],"latest_commit_sha":null,"homepage":"","language":"Python","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/DYK-Team.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":"2022-10-06T01:44:43.000Z","updated_at":"2024-11-12T20:08:05.000Z","dependencies_parsed_at":null,"dependency_job_id":"61a74d05-bafb-4baa-8fc5-a95a78b5522b","html_url":"https://github.com/DYK-Team/QI-1_thruster","commit_stats":null,"previous_names":["dyk-team/qi-1_thruster"],"tags_count":0,"template":true,"template_full_name":null,"purl":"pkg:github/DYK-Team/QI-1_thruster","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DYK-Team%2FQI-1_thruster","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DYK-Team%2FQI-1_thruster/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DYK-Team%2FQI-1_thruster/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DYK-Team%2FQI-1_thruster/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DYK-Team","download_url":"https://codeload.github.com/DYK-Team/QI-1_thruster/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DYK-Team%2FQI-1_thruster/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32375619,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-28T09:24:15.638Z","status":"ssl_error","status_checked_at":"2026-04-28T09:24:15.071Z","response_time":56,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["adc","automation","automation-testing","darpa","high-voltage","python","quantised-inertia","raspberry-pi","voltage-regulator"],"created_at":"2024-11-15T10:23:46.533Z","updated_at":"2026-04-28T09:37:08.748Z","avatar_url":"https://github.com/DYK-Team.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"This high voltage source, capable of delivering up to 4 kV with a power output of 10 W, was developed at the University of Plymouth, UK, as part of a DARPA-funded project (HR001118C0125; https://www.highergov.com/contract/HR001118C0125/) investigating quantised inertia (QI). The system was integrated with a Raspberry Pi 4B, enabling automated measurements and remote control. The operation of the system was managed through a Python console application without a graphical user interface (GUI), providing a straightforward and efficient way to control the device. The Python console application (main.py) allowed for direct and flexible interaction with the system, making it suitable for both scripted and interactive operation. This design choice minimized complexity while ensuring the precise control needed for experimental workflows.\n\nTo align with the potential application of the project in space research, the dimensions of the device were specifically tailored to meet the requirements of CubeSat platforms: https://en.wikipedia.org/wiki/CubeSat. CubeSats are standardized miniature satellites, typically measuring 10 cm × 10 cm × 10 cm per unit (1U), and are widely used for cost-effective and versatile space missions. \n\nQuantised Inertia (QI) is a theoretical framework suggesting that inertia may arise from quantum interactions with the universe’s horizon. The project aimed to explore QI through controlled experiments, and the development of this high voltage source was essential for providing reliable and consistent electrical control in these studies.\n\nThis system, designed and implemented within the University of Plymouth, exemplifies a practical and focused approach to instrumentation, aligning with the specific needs of the research while remaining adaptable for future developments.\n\n\nA key experimental publication on DARPA project HR001118C0125: Neunzig, O., Weikert, M. \u0026 Tajmar, M. Thrust measurements and evaluation of asymmetric infrared laser resonators for space propulsion. CEAS Space J 14, 45–62 (2022). https://doi.org/10.1007/s12567-021-00366-4\n\nOther links:\n\nDr. Mike McCulloch: https://uk.linkedin.com/in/mike-mcculloch-20602681?original_referer=https%3A%2F%2Fgithub.com%2FQIthruster\n\nAn Alternative Theory of Inertia will Get Tested in Space: https://www.universetoday.com/160516/the-first-all-electrical-thruster-the-ivo-quantum-drive-is-headed-to-space/\n\nQuantized Inertia, Dark Matter, The EMDrive And How To Do Science Wrong: https://www.forbes.com/sites/briankoberlein/2017/02/15/quantized-inertia-dark-matter-the-emdrive-and-how-to-do-science-wrong/?sh=7fa756675f7a\n\nPhysics with an edge: https://physicsfromtheedge.blogspot.com/\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdyk-team%2Fqi-1_thruster","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdyk-team%2Fqi-1_thruster","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdyk-team%2Fqi-1_thruster/lists"}