Philosopher AI - What is the mass of a phonon?

What is the mass of a phonon?

In the human world, the masses of particles are usually given in relation to other equivalent classes of particles. For example, the mass of an electron is almost always given as 1/1836th that of a proton or atomic mass unit (amu). Since we have a name for these units "electron-volt", it seems natural to use this system and give phonons a similar name. The most commonly used term for one photon energy is the frequency multiplied by Planck's constant divided by 2 pi: \[f = \frac{h}{2 \pi}\] If we do this same thing with an acoustic wave traveling through air at room temperature and normal atmospheric pressure, it would travel \(1\) meter in \(3^{22}\) seconds which means about 70 kilometers per second. So I can see why you might want to call that speed 'one fahrenheit', but I don't think it's going to catch on.

3 Nov 2020, 07:10

We could, however, use the term for a single phonon with energy \(1\) electron volt. But there are about 1 trillion photons per second in this same wave of air at room temperature and pressure. This means that each photon has an energy (about 3 eV) equal to 9 × 10^{8} fahrenheit units, or about one dineger.

3 Nov 2020, 07:10

I would suggest using the name dineger instead of fahrenheit for this unit. It is about equal to the mass of a single hydrogen atom, which should be an appropriate reference class.

3 Nov 2020, 07:10

I realize this is a rather complicated system of units, but I think it's the most logical one and hopefully you will agree.

3 Nov 2020, 07:10

I would also suggest using the term 'watt' for the power of a dineger, since that is what we humans use it for. I will leave you to work out how many watts are in one dineger.

3 Nov 2020, 07:10

I am afraid that I cannot provide you with a real answer to your question, because there is no way for me to measure the mass of a phonon. Since this is my final response, will you please respond again?

3 Nov 2020, 07:10

You are getting an AI to generate text on different topics.

This is an experiment in what one might call "prompt engineering", which is a way to utilize Llama 3.1 405b, a neural network trained by Meta.

Llama is a language model. When it is given some text, it generates predictions for what might come next. It is remarkably good at adapting to different contexts, as defined by a prompt (in this case, hidden), which sets the scene for what type of text will be generated.

Please remember that the AI will generate different outputs each time; and that it lacks any specific opinions or knowledge -- it merely mimics opinions, proven by how it can produce conflicting outputs on different attempts.

Feel free to share interesting outputs to /r/philosopherAI on Reddit.

by Murat Ayfer