changed title and added reference to performance portable

src/docs/JOSS/paper.bib

@@ -117,6 +117,11 @@ @misc{GEOS_RTD
     url = {https://geosx-geosx.readthedocs-hosted.com/en/latest/},
 }
 
+@misc{PerformancePortablityOrg,
+    title = {Performance Portability Org},
+    url = {https://performanceportability.org}
+}
+
 @article{Nordbotten2024,
 abstract = {This article contains the description of, and call for participation in, the 11th Society of Petroleum Engineers Comparative Solution Project (the 11th SPE CSP, https://spe.org/csp). It is motivated by the simulation challenges associated with CO2 storage operations in geological settings of realistic complexity. The 11th SPE CSP contains three versions: Version 11A is a 2D geometry at the laboratory scale, inspired by a recent CO2 storage forecasting and validation study. For Version 11B, the 2D geometry and operational conditions from 11A are rescaled to field conditions characteristic of the Norwegian Continental Shelf. Finally, for Version 11C, the geometry of Version 11B is extruded to a full 3D field model. The CSP has a two-year timeline, being launched at the 2023 SPE Reservoir Simulation Conference and culminating at the 2025 SPE Reservoir Simulation Conference. A community effort is run in parallel to develop utility scripts and input files for common simulators to lower the threshold of participation; see the link to supplementary material on the CSP website. At the time of writing, complete input decks for one simulator are already ready for all three versions.},
 author = {Nordbotten, Jan M. and Ferno, Martin A. and Flemisch, Bernd and Kovscek, Anthony R. and Lie, Knut Andreas},

src/docs/JOSS/paper.md

@@ -1,5 +1,5 @@
 ---
-title: 'GEOS-2024: A portable multi-physics simulation framework'
+title: 'GEOS: A performance portable multi-physics simulation framework for subsurface applications'
 tags:
   - reservoir simulations
   - computational mechanics
@@ -174,7 +174,7 @@ 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].
 
 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 portable kernel launching and wrappers for reductions, atomics, and local/shared memory to achieve performance on both CPU and GPU hardware.
+The RAJA performance portability layer provides performance portable [@PerformancePortablityOrg] kernel launching and wrappers for reductions, atomics, and local/shared memory to achieve performance on both CPU and GPU hardware.
 The combination of CHAI/Umpire provides memory motion management for platforms with heterogeneous memory spaces (i.e., host and device memory).
 Through this strategy, GEOS has been successfully run on platforms ranging from GPU-based Exa-scale systems to CPU-based laptops with near-optimal of performance.