Update paper/paper.md

Co-authored-by: Navid C. Constantinou <[email protected]>

paper/paper.md

@@ -66,7 +66,7 @@ The flexibility of the ``Oceananigans.jl`` framework allows ``OceanBioME.jl`` to
 ``OceanBioME.jl`` is a flexible modelling environment written in Julia [@julia] for simulating the coupled interactions between ocean biogeochemistry, carbonate chemistry, and physics.
 ``OceanBioME.jl`` can be used as a stand-alone box model, or integrated into ``Oceananigans.jl`` [@Oceananigans] for coupled physical-biogeochemical simulations in one, two, or three dimensions.
 As a result, ``OceanBioME.jl`` and ``Oceananigans.jl`` can be used to simulate the biogeochemical response across an enormous range of scales: from surface boundary layer turbulence at the sub-meter scale to eddying global ocean simulations at the planetary scale, and on computational systems ranging from laptops to supercomputers.
-An example of a problem involving small-scale flow features is shown in \autoref{eady}, which shows a simulation of a sub-mesoscale eddy in a 1km x 1km horizontal domain with an intermediate complexity biogeochemical model and a kelp growth model solved along the trajectories of drifting buoys (a list of of examples shown in this paper and links to source code are given at the end of the paper).
+An example of a problem involving small-scale flow features is showcased in \autoref{eady}, which shows a simulation of a sub-mesoscale eddy in a 1km x 1km horizontal domain with an intermediate complexity biogeochemical model and a kelp growth model solved along the trajectories of drifting buoys (a list of of examples shown in this paper and links to source code are given at the end of the paper).
 ``OceanBioME.jl`` leverages Julia's multiple dispatch and effective inline capabilities to fuse its computations directly into existing ``Oceananigans.jl`` kernels, thus maintaining ``Oceananigans.jl``'s bespoke performance, memory- and cost-efficiency on GPUs in ``OceanBioME.jl``-augmented simulations.
 
 ![In this simulation of baroclinic instability in the Eady problem, a background buoyancy gradient and corresponding thermal wind generates a sub-mesoscale eddy, roughly following the setup of @taylor:2016.