Update content/research_papers/2024/2024-12-19-implementation-of-two-numerical-solvers-for-the-study-of-non-equilibrium-gas-dynamics-on-gpu-accelerated-platforms-using-sycl.md

Co-authored-by: carlewis <[email protected]>

Author: scottstraughan

content/research_papers/2024/2024-12-19-implementation-of-two-numerical-solvers-for-the-study-of-non-equilibrium-gas-dynamics-on-gpu-accelerated-platforms-using-sycl.md

@@ -21,7 +21,7 @@ the Maxwell-Boltzmann distribution function to create an algorithm that quickly
 particle-velocity distribution. This highly efficient technique is extended for GPUs to accelerate the computation of
 accurate results. Results produced with the solver serve as robust benchmarks in the validation of other scientific
 models that describe fluid motion in non-equilibrium regimes. The second solver extends a CPU-based implementation of
-the discontinuous Galerkin Hancock (DGH)method into an efficient GPU code. The DGH scheme is a high-order numerical
+the discontinuous Galerkin Hancock (DGH) method into an efficient GPU code. The DGH scheme is a high-order numerical
 method that solves hyperbolic partial differential equations (PDEs) with stiff source terms. This class of equations is
 common in many models that are used to describe non-equilibrium gas flows. The GPU implementation of the DGH solver that
 is presented in this work provides a computationally efficient and numerically accurate method to compute the solution