
CYMATICS: Science Vs. Music - Nigel Stanford
About this video
Nigel Stanford's music video Cymatics, in which real science experiments, such as Chladni plates, ferrofluid and water, visualize the audio.
Why it appears in the archive
Mentioned as a striking example of sound producing physical effects and a favorite among his videos.
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From the Hacker News discussion
I quite like this one: [LINK] AUTOMATICA - Robots Vs. Music - Nigel Stanford More industrial robot arm choreography and creative film making, but with some fun mindless destruction too. (And if you like that, another one of his I like is tghis: [VIDEO] )
Read original comment ↗Related: What is Oscilloscope Music and how do you display it on your oscilloscope? [LINK] Jerobeam Fenderson's Oscilloscope Music YouTube Channel [LINK] Intuitively, there seems to be a relationship between Oscilloscope Music and Cymatics: CYMATICS: Science Vs. Music - Nigel Stanford [VIDEO] (Also, there's an implied 2D to 3D mapping from the Oscilloscope experiments...)
Read original comment ↗Thanks! With the caveat that I profoundly lack depth on both, and am a bit artsy craftsy in my intuitions, I did buy the Maths module precisely because it was an analog computer. The intent was to create some generative music, and seeing if I could use it to create 1/f noise, and exploring self-similarity using a musical ear instead of in code. Still working on it. When you look at what you can do with magnets hooked to a synth with a ferrofluid, e.g. [VIDEO] , the sound and your ear helps to develop an sense for what kinds of waves can be used to yield physical effects. If you can functionally suspend and maipulate a ferrofluid with waves, there are likely analogies to laser pulses and electrons for quantum computing. Waves gonna wave, etc. The other piece that grabbed me recently was "analog fractals," ( [LINK] + that rabbit hole) where if you can get those artifacts instantaneously as the effect of physical feedback instead of rendering them computationally, there are likely faster functional approaches to a lot of other problems, only a subset of which we use ASICs and FPGAs to implement today. It's speculative based on laughably incomplete understandings on my part, but that's hacking.
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