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paper/paper.md

@@ -29,7 +29,7 @@ DelaunayTriangulation.jl is a feature-rich Julia [@bezanson2017julia] package fo
 
 Delaunay triangulations and Voronoi tessellations have applications in a myriad of fields. Delaunay triangulations have been used for point location [@mucke1999fast], solving differential equations [@golias1997delaunay; @ju2006adaptive], path planning [@yan2008path], etc. Voronoi tessellations are typically useful when there is some notion of _influence_ associated with a point, and have been applied to problems such as geospatial interpolation [@bobach2009natural], image processing [@du1999centroidal], and cell biology [@hermann2008delaunay; @wang2024calibration].
 
-Several software packages with support for computing Delaunay triangulations and Voronoi tessellations in two dimensions already exist, such as _Triangle_ [@shewchuk1996triangle], _MATLAB_ [@MATLAB], _SciPy_ [@SciPy], _CGAL_ [@CGAL], and _Gmsh_ [@GMSH]. DelaunayTriangulation.jl is the most feature-rich of these and benefits from the high-performance of Julia to efficiently support many operations. Julia's multiple dispatch [@bezanson2017julia] 
+Several software packages with support for computing Delaunay triangulations and Voronoi tessellations in two dimensions already exist, such as _Triangle_ [@shewchuk1996triangle], _MATLAB_ [@MATLAB], _SciPy_ [@SciPy], _CGAL_ [@CGAL], and _Gmsh_ [@GMSH]. DelaunayTriangulation.jl is the most feature-rich of these and benefits from the high-performance of Julia to efficiently support many operations such as centroidal Voronoi tessellations and curve-bounded refinement. Julia's multiple dispatch [@bezanson2017julia] 
 is leveraged to allow for complete customisation in how a user wishes to represent geometric primitives such as points and domain boundaries, a useful feature for allowing users to represent primitives in a way that suits their application without needing to sacrfice performance. The [documentation](https://juliageometry.github.io/DelaunayTriangulation.jl/stable/) lists many more features, including its ability to represent a wide range of domains, even those that are disjoint and with holes. 
 
 DelaunayTriangulation.jl has already seen use in several areas. DelaunayTriangulation.jl was used for mesh generation in @vandenheuvel2023computational and is used for the `tricontourf`, `triplot`, and `voronoiplot` routines inside Makie.jl [@danisch2021makie]. The packages [FiniteVolumeMethod.jl](https://github.com/SciML/FiniteVolumeMethod.jl) [@vandenheuvel2024finite] and [NaturalNeighbours.jl](https://github.com/DanielVandH/NaturalNeighbours.jl) [@vandenheuvel2024natural] are also built directly on top of DelaunayTriangulation.jl.