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              <p>Numerical simulations of physical phenomena can be computed by many (commercial/free) software packages, but despite the apparent variety, all of them rely on a relatively small set of operations during the preparation, exploitation, and post-processing of these simulations, e.g., handling and modifying meshes and ﬁelds. Muscat is a Python library designed to address these supporting tasks. It features an efﬁcient data model for meshes and ﬁeld objects, as well as input/output routines compatible with various formats. A ﬁnite element engine allows to assemble abstract variational formulations and integrate ﬁelds on volumes and surfaces. Muscat is actively used in artiﬁcial intelligence and model order reduction [1, 2, 3, 4], topology optimization [5], and material sciences [6] projects. This paper reproduce the content of the original publication for BasicTools (Muscat version 1.0) of [7].</p>
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