{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-convolutional-method-for-solving-non-quasi","title":"Convolutional hybrid-PIC modeling of non-neutral plasmas","arxiv_id":"2404.08861","date":"2024-04-13","proceeding":null,"authors":["Jin-Long Jiao"],"abstract":"Non-neutral plasmas can excite many nonlinear plasma phenomena, e.g., collisionless shocks, sheath layers, solitons, and plasma plumes. It is a fundamental issue in fields such as astrophysics, space physics, nuclear fusion, and plasma propulsion. Hybrid PIC methods are currently the most commonly used techniques for simulating non-neutral plasmas. However, the numerical methods for solving hybrid PIC model of non-neutral plasma have some shortcomings. Here, a new method called convolutional hybrid-PIC (conv-HPIC) is proposed to address this problem. This method replaces the Poisson's equation in the hybrid PIC with a convolution equation. The conv-HPIC method avoids iteration, suppresses numerical noise and exhibits high computational efficiency. It is expected to become a powerful tool for exploring nonlinear phenomena in non-neutral plasmas.","url_abs":"https://arxiv.org/abs/2404.08861v2","url_pdf":"https://arxiv.org/pdf/2404.08861v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"a-convolutional-method-for-solving-non-quasi","repo_url":"https://github.com/jljiao/conv-HPIC","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}