{"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/orthoboxy-a-simple-way-to-compute-true-self","title":"OrthoBoXY: A Simple Way to Compute True Self-Diffusion Coefficients from MD Simulations with Periodic Boundary Conditions Without Prior Knowledge of the Viscosity","arxiv_id":"2307.01591","date":"2023-07-04","proceeding":null,"authors":["Johanna Busch","Dietmar Paschek"],"abstract":"Recently, an analytical expression for the system size dependence and direction-dependence of self-diffusion coefficients for neat liquids due to hydrodynamic interactions has been derived for molecular dynamics (MD) simulations using orthorhombic unit cells. Based on this description, we show that for systems with a \"magic\" box length ratio of $L_z/L_x\\!=\\!L_z/L_y\\!=\\!2.7933596497$ the computed self-diffusion coefficients $D_x$ and $D_y$ in $x$- and $y$-direction become system-size independent and represent the true self-diffusion coefficient $D_0\\!=\\!(D_x+D_y)/2$. Moreover, by using this particular box geometry, the viscosity can be determined with a reasonable degree of accuracy from the difference of components of the diffusion coefficients in $x$-,$y$- and $z$-direction using the simple expression $\\eta\\!=\\!k_\\mathrm{B}T\\cdot 8.1711245653/[3\\pi L_z(D_{x}+D_{y}-2D_z)]$, where $k_\\mathrm{B}$ denotes Boltzmann's constant, and $T$ represents the temperature. MD simulations of TIP4P/2005 water for various system-sizes using both orthorhombic and cubic box geometries are used to test the approach.","url_abs":"https://arxiv.org/abs/2307.01591v3","url_pdf":"https://arxiv.org/pdf/2307.01591v3.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":"orthoboxy-a-simple-way-to-compute-true-self","repo_url":"https://github.com/paschek-lab/orthoboxy","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}