Thank-you Guilherme,
for providing a clearer understanding of the math that the:
https://github.com/yomboprime/GPGPU-threejs-demos/blob/713c555c9e539d5a62e8ef4d8c91a43a9169de01/webgl_gpgpu_water.html
sample incorporates.
Based on a recent analysis of generating standing Faraday waves in actual water:
See: https://www.sheldrake.org/files/pdfs/papers/WATER.2017.10.Sheldrake.pdf ,
it appears that the organic looking standing waves that are formed are not dependent on the depth of the water, only the:
- viscosity of the fluid,
- driving frequency/waveform, and
- diameter of the circular container/dish (boundary conditions).
My thoughts were that since depth is not a factor, maybe a 2D surface might still produce interesting organic patterns. To color them one might assign color to the different heights of the surface being generated. In that study, the diameter of the dish that could be relied on to produce results was only 10mm, so we are not talking about simulating waves on a large body of water.
For myself, I have under development a sound healing web app to bring the exploration of healing oneself using sound to the public. Over the last 100 years, many researchers have found that certain waveforms of sound at certain frequencies provide information to the body to direct resources to areas that require healing. Smart phones and tablets, are now powerful and accurate enough to deliver these waveforms. This means that the current $5,000 - $10,000 price tag for machines that their developers claim are needed to make this research available, may no longer be needed. This could make this technology more widely available. The app being developed makes these (in the public domain), frequencies/waveforms easily accessible.
(Attachment Dr. Peter Guy Manners Muscle Joint Wave_1036.wav is missing)