From 7394777eaf5812be3082aac3d54a0db74261c283 Mon Sep 17 00:00:00 2001
From: amandaghassaei <amandaghassaei@gmail.com>
Date: Sun, 2 Apr 2017 04:33:58 -0400
Subject: [PATCH] eod
---
README.md | 21 ---------------------
index.html | 8 ++++++--
2 files changed, 6 insertions(+), 23 deletions(-)
delete mode 100644 README.md
diff --git a/README.md b/README.md
deleted file mode 100644
index f7883b7..0000000
--- a/README.md
+++ /dev/null
@@ -1,21 +0,0 @@
-# ReactionDiffusionShader
-WebGL Shader for a Gray-Scott reaction diffusion system
-
-<img src="https://raw.githubusercontent.com/amandaghassaei/ReactionDiffusionShader/master/img.png"/>
-
-Live demo at <a href="http://git.amandaghassaei.com/ReactionDiffusionShader/" target="_blank">git.amandaghassaei.com/ReactionDiffusionShader/</a>
-
-This is a simulation of a <a href="https://en.wikipedia.org/wiki/Reaction%E2%80%93diffusion_system" target="_blank">Gray-Scott reaction-diffusion system</a>, running in a GPU shader.
-The parameters for this model are F = 0.0545 and K = 0.062. With these parameters the system forms a mitosis-like pattern, where small cells divide and spread across space.<br/><br/>
-Reaction diffusion patterns are interesting, but they can be difficult to control in meaningful ways for design purposes.
-In this project I added an underlying vector field that controls the orientation of diffusion across the system to produce directed, global patterns.
-Click on the screen to change the location of the sinks in the vector field.<br/>
-<br/>
-If this simulation is not performing well on your computer, resize your browser's window to make the simulation smaller.<br/><br/>
-The math used to created oriented diffusion is this system is discussed in the papers <a href="https://www.sci.utah.edu/publications/SCITechReports/UUSCI-2003-002.pdf" target="_blank">Display of Vector Fields Using a Reaction-Diffusion Model</a>
-and <a href="http://www.cs.cmu.edu/~jkh/462_s07/reaction_diffusion.pdf" target="_blank">Reaction-Diffusion Textures</a>.<br/><br/>
-More info about ways to control these systems can also be found on <a href="http://www.karlsims.com/rd.html" target="_blank">Karl Sims' Webpage</a>.<br/><br/>
-Information about programming a reaction diffusion system on the GPU is here: <a href="https://bl.ocks.org/robinhouston/ed597847175cf692ecce" target="_blank">A reaction-diffusion simulation using WebGL</a>.
-<br/><br/>
-By <a href="http://www.amandaghassaei.com/" target="_blank">Amanda Ghassaei</a>, code on <a href="https://github.com/amandaghassaei/ReactionDiffusionShader" target="_blank">Github</a>.
-
diff --git a/index.html b/index.html
index 6913022..a5e4d79 100644
--- a/index.html
+++ b/index.html
@@ -88,8 +88,12 @@
<div class="modal-content">
<div class="modal-body">
<b>Fluid Simulation Shader</b><br/><br/>
- <br/><br/>
- By <a href="http://www.amandaghassaei.com/" target="_blank">Amanda Ghassaei</a>, code on <a href="https://github.com/amandaghassaei/ReactionDiffusionShader" target="_blank">Github</a>.
+ I used the following sources to write this simulation:<br/><br/>
+ <a href="https://pdfs.semanticscholar.org/84b8/c7b7eecf90ebd9d54a51544ca0f8ff93c137.pdf" target="_blank">Real-time ink simulation using a grid-particle method</a><br/>
+ <a href="http://http.developer.nvidia.com/GPUGems/gpugems_ch38.html" target="_blank">Fast Fluid Dynamics Simulation on the GPU</a> - a very well written tutorial about programming the Navier-Stokes equations on a GPU.<br/>
+ <a href="http://www.dgp.toronto.edu/people/stam/reality/Research/pdf/ns.pdf" target="_blank">Stable Fluids</a> - a paper about numerical methods for evaluating Navier-Stokes on a discrete grid.<br/>
+ <br/>
+ By <a href="http://www.amandaghassaei.com/" target="_blank">Amanda Ghassaei</a>, code on <a href="https://github.com/amandaghassaei/FluidSimulation" target="_blank">Github</a>.
<br/><br/>
</div>
</div>
--
GitLab