{"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/thermal-transport-in-twisted-bilayer-graphene","title":"Thermal Transport in Twisted Bilayer Graphene: An Equilibrium Molecular Dynamics Study","arxiv_id":"2212.10216","date":"2022-12-20","proceeding":null,"authors":["David","Ferry Faizal","I Made Joni"],"abstract":"Twisted bilayer graphene (tBLG) is two graphene layers placed on top of each other with a twist angle, making it has tunable thermal properties. In this paper, we report an analysis of thermal conductivity ($\\kappa$), phonon density of states, and specific heat capacity of tBLG with various twist angles over a range of temperatures using equilibrium molecular dynamics simulations based on the Green-Kubo method. Simulation shows that stacking and twisting graphene layers lead to a decrease in the thermal conductivity, with the highest $\\kappa$ at around room temperature owned by the tBLG with a twist angle of 3.89$^{\\circ}$ followed by 16.43$^{\\circ}$ and 4.41$^{\\circ}$. We also perform quantum correction to the simulation results to show the process of increasing thermal conductivity at low temperatures.","url_abs":"https://arxiv.org/abs/2212.10216v1","url_pdf":"https://arxiv.org/pdf/2212.10216v1.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":"thermal-transport-in-twisted-bilayer-graphene","repo_url":"https://github.com/dxid-dev/md-tblg","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"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}