Revise GSOC 2026 ideas list with updates and formatting (#203)

Updated the ideas list for GSOC 2026 with formatting improvements and added emphasis on skills required and difficulty ratings for each project.

Author: bigfooted

_gsoc/Introduction.md

@@ -5,32 +5,32 @@ permalink: /gsoc/Introduction/
 
 **Welcome to SU2 - GSOC!**  
 
-This is the ideas list for GSOC 2026.
+This is the updated ideas list for GSOC 2026.
 
 ## Project BP: Adding pressure-based solver
 Project Description (max. 5 Sentences)
 The pressure-based solver has been requested for a long time. This solver is an important addition to the CFD solvers, especially for low Mach and incompressible flows. People have worked on it (detailed documentation available), and there is a branch that contains a working version, but this was never finalized and added to the main SU2 branch. Hence, the project's objective is to evaluate the current status of attempts, and propose a strategy for getting the pressure-based solver in the latest version of SU2.
 Expected Outcome (deliverables): Finalize pressure-based solver, validate with test cases, tutorial and merge the PR.
-Skills Required: C++, experience with CFD and numerical methods
-Possible Mentors: Nitish Anand and Edwin van der Weide
-Expected Project Size: 175 hrs/medium
-Difficulty rating: medium-hard (needs experience with Computational Fluid Dynamics)
+- Skills Required: C++, experience with CFD and numerical methods
+- Possible Mentors: Nitish Anand and Edwin van der Weide
+- Expected Project Size: 175 hrs/medium
+- Difficulty rating: **medium-hard** (needs experience with Computational Fluid Dynamics)
 
 ## Project GPU: Continuation of GPU acceleration in SU2
 Project Description (max. 5 Sentences)
 The SU2 code relies heavily on sparse linear algebra. In this area, there is significant speed-up potential with the adoption of GPU-based processing, as was demonstrated in the GSOC 24 project that applied CUDA to sparse matrix-vector multiplications in SU2. The objective of this project is to move more linear algebra operations to GPU in order to avoid host-device communication bottlenecks within the sparse linear system solver.
 Expected Outcome (deliverables): Make SU2’s sparse linear solver GPU-native, i.e. minimal host-device communication after the initial setup of the system. 
-Skills Required C++
-Possible Mentors Pedro Gomes (lead), Ole Burghardt
-Expected Project Size (90 hrs/ small , 175 hrs/medium, 350 hrs/large): 175 hrs (medium)
-Difficulty rating (easy (little experience/background), medium (some experience/background), hard (experienced)): medium
+- Skills Required C++
+- Possible Mentors Pedro Gomes (lead), Ole Burghardt
+- Expected Project Size (90 hrs/ small , 175 hrs/medium, 350 hrs/large): 175 hrs (medium)
+- Difficulty rating: **medium**
 
 ## Project AMR: Quick Adaptive Mesh refinement for 2D testcases  
 Project Description (max. 5 Sentences)
 Many users have asked for adaptive mesh refinement capabilities. Several research groups are working on this. The aim of this project is to introduce a quick and easy adaptive mesh refinement that simply reads an existing results file and adaptively refines the meshes based on the value of a field. 
 Expected Outcome (deliverables): SU2_AMR, an added executable that simply splits 2D quad and triangle cells 
-Skills Required: C++
-Possible Mentors: Nijso Beishuizen (lead)  
-Expected Project Size (90 hrs/ small , 175 hrs/medium, 350 hrs/large): 175 hrs (medium)
-Difficulty rating (easy (little experience/background), medium (some experience/background), hard (experienced)): medium
+- Skills Required: C++
+- Possible Mentors: Nijso Beishuizen (lead)  
+- Expected Project Size (90 hrs/ small , 175 hrs/medium, 350 hrs/large): 175 hrs (medium)
+- Difficulty rating: **medium**