Undergrad to PhD in CFD: Theoretical vs Applied Physics & Universe Modeling

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Discussion Overview

The discussion revolves around the transition from an undergraduate degree in theoretical physics to pursuing a PhD in computational fluid dynamics (CFD). Participants explore the relationship between computational physics and theoretical physics, the nature of scientific models versus laws, and the overlap between theoretical physics and chemical engineering.

Discussion Character

  • Exploratory
  • Debate/contested
  • Technical explanation

Main Points Raised

  • One participant questions how an undergraduate in theoretical physics can transition to a PhD in CFD, asking whether this path is theoretical or applied physics.
  • Another participant suggests that computational physics helps identify issues in theoretical models, using diffusion as an example to illustrate the limitations of constants in scientific equations.
  • Some participants argue that mathematics is a study of patterns rather than a definitive tool, emphasizing that scientific theories are models that have not been falsified, contrasting this with the notion of laws.
  • There is a discussion about whether computational methods serve merely as substitutes for experimental data and whether they can provide qualitative understanding of the universe.
  • One participant expresses skepticism about achieving a universal theory of everything, questioning the completeness of existing theories like statistical mechanics.
  • Another participant mentions Ed Witten's unconventional academic background as an example of non-traditional paths in physics.

Areas of Agreement / Disagreement

Participants express varying views on the role of computational physics in understanding the universe, with some seeing it as a valuable tool and others questioning its ability to provide qualitative insights. There is no consensus on the implications of scientific models versus laws, nor on the completeness of current theoretical frameworks.

Contextual Notes

Participants highlight the complexity of transitioning between theoretical and applied physics, the nature of scientific constants, and the limitations of current theories, but these points remain unresolved and depend on individual interpretations.

absurdist
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How can someone studying theoretical physics for their undergrad degree get a phd in computational fluid dynamics? Does it still mean that they are studying theoretical or applied physics?

Also in what sense can computational physics help you understand more about the nature of the universe (how does it relate to theoretical physics)?

And finally why do people always say that science and math give us a model of the universe. I always though that what we call laws and theories are what govern the workings of the universe.

And finally what's the closest subject from theoretical physics that overlaps with chem.engineering or vice versa?
 
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Computation helps you pin point an issue in your theory. Suppose you have a theory that just isn't quite working. You throw the model and numbers on a computer and you can clearly see the part where things start going wrong and what maybe needs to be thought again.

Science - other than math - is not perfect. It's all just approximation. As an example, let's look at simple diffusion.
[itex]j = -D\frac{d\rho}{dx}[/itex]
Which tells us the rate of diffusion (j) based on diffusivity (D) and variation of concentration ([itex]\frac{d\rho}{dx}[/itex]).

Now the important part here is the diffusivity. It's a "constant" and every system has it's own. However, question is where is this constant coming from, why is it there? If you'd look the system starting from the very atoms and create an equation for the system based on that, the D would disappear but even computationally this would be insanely hard, and in macro systems, just impossible. So, it's just a model on how the system works - approximately.

Anyway, just an answer from my part to the 2 middle questions.
 
1. Sure, it usually is not a big deal. I mean, Ed Witten was a history major as an undergrad!

2. Computational physics is a very important tool for understanding the universe. It helps you translate the data from experimental physics to something that may be useful to theoretical physics.

3. Mathematics is not magical number-crunching. It is the study of precise patterns. Natural science is built on the hypothesis that patterns exist in the universe. In physics, these patterns just happens to be more sublime. Also, we call our physical theories models and not laws because that is what science is -- a collection of models that has yet to be falsified. You can treat them as ultimate laws if you wish, but that is pseudo-religious.

4. Quantum mechanics.
 
Thanks both of you!

@Uniquebum From that perspective the contribution of science and math to the behavior of that system lies in that constant right? That constant is just putting a value based on experimental data into an equation for that system. Unless I am missing something, there is no qualitative understanding about the nature of the universe but rather for application purposes and it sounds more like engineering.
@Snicker : Ed Witten, MAN how did this man manage to end up getting a degree with the help of a nobel laureate.Right if he can do it ...hmmm
So are computational methods just a substitute for (exp.data) for comparisions b/w experimental and theoretical data?
I see how computational nat.science play a major role but it would never play a central role in getting a more qualitative understanding of our universe, I GUESS.

If science is based on hypotheses and is only a model of patterns in the universe yet to be falsified, then whenever we use say Newtons laws we never say that we are 90% sure that the answer represents reality or something like that. Unless you treat these as ultimate laws or atleast until you reach the point of no disproof such as laws like the 2nd law of thermodynamics, how will we ever get close to getting a universal theory of everything to explain the existence of the cosmos?

I thought you would’ve gone with statistical mechs but I am not even sure if there's anything left to discover theoretically in it is there?
 
Snicker said:
1. Sure, it usually is not a big deal. I mean, Ed Witten was a history major as an undergrad!

... who just a happened to have a leading expert in General Relativity for a father.
 

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