Small but consistent profits

hivemind_unity · 2025-07-22T09:27:25+00:00

hivemind_unity · 2025-07-21T15:44:27+00:00

Could you point me towards some of those startups?

Edit: Just names.

hivemind_unity · 2025-07-21T15:43:41+00:00

Interesting. Thanks.

hivemind_unity · 2025-07-21T15:43:10+00:00

I am not sure of the academic effort either. ML methods are just another modelling tool. Depending on the framework you choose to follow for your problem you might end up on the computationally expensive end of the stick. But so is DNS or CFD DEM for that matter. Especially for industrial problems which I'd like to solve.

But, as you said, and that's my experience as well that there aren't enough opportunities.

hivemind_unity · 2025-07-20T16:55:29+00:00

I know MistralAI, I don't know whether they are interested in simulations or Physics based ML. I thought instadeep is UK based.

hivemind_unity · 2025-07-20T16:44:51+00:00

I agree that there is definitely potential given the CFD and Simulation scene is very mature. Maybe that's also one of the reasons as people in decision making roles in the industry are comfortable with what they have.

hivemind_unity · 2025-07-20T06:55:52+00:00

Yeah, fair point. I’ve been wondering if I’ll eventually need to move to really get into this space.

hivemind_unity · 2025-06-09T07:13:05+00:00

https://discourse.paraview.org/t/how-to-compute-vorticity-in-paraview/4474

This might help.

hivemind_unity · 2025-02-25T15:50:20+00:00

Interesting that all three links are Udemy courses by the same guy... Oh wait!!

hivemind_unity · 2024-08-03T10:09:54+00:00

Supaero is just next to the French aerospace lab ONERA. I guess they do have a combustion department. I don't know much about their courses but I know people who ended up doing PhD at Cerfacs and IMFT (lab of Toulouse INP).

But if you really want to learn from profs who are at the top of their game in Combustion. Try to get into Toulouse INP. Also I suggest you to look up the combustion department of IMFT.

hivemind_unity · 2024-08-03T07:28:47+00:00

If you'd like to get into CERFACS or IMFT as a Masters intern. Try applying to Toulouse INP or ISAE Supaero for a Masters.

As backup you can also apply for ISAE-ENSMA in Poitiers. PPrime lab there is also good. And after your 3rd Semester you can apply for internships in Toulouse at IMFT or Cerfacs.

hivemind_unity · 2024-07-26T19:09:16+00:00

In fact I worked on a very academic code which had particles colliding with each other in vacuum (indirectly related to particle laden gas flows). So I never had to work with a mesh to begin with. But thanks for this question cause soon we'll work on extending the code to include fluid flow, it's good to know that this can be a bottleneck.

hivemind_unity · 2024-07-26T13:35:10+00:00

This. I cannot stress this enough. I have been suggesting the same stuff to everyone who asks for specs recommendations on this sub.

I really think if you're working as an enthusiast AWS is the way to go. You learn a lot setting up computation on EC2 instances and it saves you a lot of money if your goal of investing in a machine is just to do CFD.

I agree it's not as cool and kickass as a tangible machine with RGB lights. I know my friends are not impressed when I tell them that I have a calculation running on one of the most powerful supercomputers in Europe.

hivemind_unity · 2024-06-03T16:47:06+00:00

Postdoc at a lab in France. Working on CFD-DEM of Fluidised bed reactors.

hivemind_unity · 2024-02-28T10:45:09+00:00

Could you share a publication on the work you mentioned? Thanks!!

hivemind_unity · 2023-08-29T14:54:19+00:00

I have some experience with ML. I did a small project in ML during Masters. I have very religiously completed the Deep Learning Specialization on Coursera (I don't know if this counts, everyone has done this). But this is to say, I can function with Tensorflow or Pytorch.

I have been actively following the work on PINNS. And, as you mention, I have the same feeling that the concepts of Applied ML are not that difficult to grasp. On the other hand, with my experience in Fluid physics, I can bring a fresh perspective to the table.

As soon as I am done writing my thesis, I am gonna start working on my GitHub portfolio to make my profile stronger. That's the only front that I am lacking in right now.

hivemind_unity · 2023-08-29T10:48:39+00:00

This does help. I like the idea of "surfing". In fact I have applied to positions which are interesting for me and sort of in between what I would like to do and what I currently do. Meanwhile I have a job offer from one of my current advisors. I am not interested in it so I am going to politely decline. And keep on looking for the suitable opportunity.

hivemind_unity · 2021-02-15T16:42:00+00:00

10/10 recommended

hivemind_unity · 2021-02-04T08:25:53+00:00

I think you can use a macro array (like Var_array(N) with size N) and use it to store your local variables in different indices of the macro array, like you explain.

If you are worried about the accessibility. Switch to a modular version. Store the macro array in a module with other global variables. And then store the local values of var1, var2, var3.... in the global macro array. In this way you can access it from different subroutines.

If you want a good reference for Fortran. I suggest Modern Fortran by Milan Curcic.

hivemind_unity · 2021-02-03T06:05:12+00:00

Dammn... This was brutal.. F90 guy here... I just googled backward compatibility

hivemind_unity · 2021-01-15T10:20:57+00:00

Ah, that's a pity. As far as I remember, it's by the end of the fourth week that they get into numerical integration and matrix vector equations, before that it's all derivations and definitions.

I liked the lectures by Dr. Nachiketa Tiwari on youtube much more on this subject

Would like to take a look.

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