From 72b92a5ca1f94772d5d4d2d8d38e3cac2bc0cc3d Mon Sep 17 00:00:00 2001
From: Nicola Castelletto <38361926+castelletto1@users.noreply.github.com>
Date: Mon, 9 Sep 2024 10:29:59 -0700
Subject: [PATCH] minor change

---
 src/docs/JOSS/paper.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/docs/JOSS/paper.md b/src/docs/JOSS/paper.md
index a51d6616b3..95f87cab87 100644
--- a/src/docs/JOSS/paper.md
+++ b/src/docs/JOSS/paper.md
@@ -171,7 +171,7 @@ The single physics capabilities are then applied together in a coupled physics p
 
 To solve the linear systems that arise from the boundary value problem, GEOS maintains a generic linear algebra interface (LAI) capable of wrapping various linear algebra packages such as hypre [@hypre], PETSc [@petsc-web-page], and Trilinos [@Her_etal05].
 Currently, in GEOS only the hypre interface is actively maintained.
-For every multi-physics problem involving the solution of a coupled linear system, GEOS currently relies on a multigrid reduction preconditioning strategy available in hypre as presented by [@BUI:2020;@BUI:2021114111].
+For every multi-physics problem involving the solution of a coupled linear system, GEOS currently relies on a multigrid reduction preconditioning strategy available in hypre [@BUI:2020;@BUI:2021114111].
 
 The performance portability strategy utilized by GEOS applies LLNL's suite of portability tools RAJA [@Beckingsale:2019], CHAI [@CHAI:2023], and Umpire [@Beckingsale:2020].
 The RAJA performance portability layer provides [performance portable](https://performanceportability.org) kernel launching and wrappers for reductions, atomics, and local/shared memory to achieve performance on both CPU and GPU hardware.