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The method, which we call anisotropic force-matching coarse-graining (AFM-CG), is based on rigorous statistical mechanical principles, enforcing consistency between the coarse-grained and fine-grained phase-space distributions to derive equations for the coarse-grained forces, torques, masses, and moments of inertia in terms of properties of a condensed-phase fine-grained system. We verify the accuracy and efficiency of the method by coarse-graining liquid-state systems of two different anisotropic organic molecules, benzene and perylene, and show that the parameterized coarse-grained models more accurately describe properties of these systems than previous anisotropic coarse-grained models parameterized using other methods that do not account for finite-temperature and many-body effects on the condensed-phase coarse-grained interactions. The AFM-CG method will be useful for developing accurate and efficient dynamical simulation models of condensed-phase systems of molecules consisting of large, rigid, anisotropic fragments, such as liquid crystals, organic semiconductors, and nucleic acids.<\/jats:p>","DOI":"10.1063\/5.0085006","type":"journal-article","created":{"date-parts":[[2022,4,21]],"date-time":"2022-04-21T16:34:08Z","timestamp":1650558848000},"update-policy":"https:\/\/doi.org\/10.1063\/aip-crossmark-policy-page","source":"Crossref","is-referenced-by-count":24,"title":["Systematic bottom-up molecular coarse-graining via force and torque matching using anisotropic particles"],"prefix":"10.1063","volume":"156","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2458-1666","authenticated-orcid":false,"given":"Huong T. 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