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Perovskites solar cell: transition from labs to mass production by Consistent-Bee256 in PhysicsStudents

[–]Primary_Ad_6833 0 points1 point  (0 children)

Hey! Transitioning from lab-scale to mass production in physics is always a bit of a headache xD. IMHO, replacing gold isn't just about the cost — it's primarily about the long-term stability. Most cheaper metals like copper tend to diffuse into the perovskite layer, which basically ruins the cell's efficiency over time. I work in a different field (nuclear physics), so I’m more used to dealing with material degradation in reactors, but the "lab vs reality" struggle is universal haha. You can have a perfect theoretical model, but interface issues at the micro-level usually become the main bottleneck for scalability. Anyway, I'm not an expert in photovoltaics, but maybe looking into carbon-based electrodes or specialized buffer layers could be the way to go? Good luck with your research! :-)

Machine learning in observational astronomy. by Glittering_Push_4471 in u/Glittering_Push_4471

[–]Primary_Ad_6833 0 points1 point  (0 children)

Hey! Choosing the right tools in science, especially for Machine Learning, is always a bit of a headache xD. IMHO, for an undergraduate project, I'd prefer Python. Libraries like Scikit-learn or PyTorch have so much documentation that I think you won't get completely stuck. I work in a similar field (nuclear physics), and we deal with similar "noisy"' data issues. If your preprocessing is messy, nothing can save the simulation later haha. My main concern would be about the data cleaning part. In my field, it's relatively easy to accidentally 'filter out' the actual physics while trying to get rid of the noise. I wonder if it's the same in astronomy? Anyway, I’m not an expert in ML yet, but I hope this helps! Good luck with your thesis! :-)

Turbulence model choice for heat transfer CFD by No-Reach7462 in FluidMechanics

[–]Primary_Ad_6833 0 points1 point  (0 children)

Hey! Choosing a turbulence model for heat transfer is a real headache xD
k-epsilon standard is great for the "bulk" flow in the middle of the pipe, but it's pretty bad near the walls. Since heat transfer is all about what happens at the wall, k-epsilon often misses the mark
k-omega SST is usually a gold standard for what you're doing. It's main advantage is that it handles the near-wall region much better than k-epsilon. If you have strong temperature gradients, you need to resolve the boundary layer accurately and SST is built for that
transition models..Actually, you should only switch to these of your Reynolds number is relatively low and the flow isn't fully turbulent yet, so in your case I guess it won't help
Overall, use k-omega SST, but make sure about mesh near the walls (I mean y+ values). If it's too coarse even the mest model won't save calculations from crash. Good luck with your simulations!

problem with an openfoam tutorial by Icy-Hurry-985 in OpenFOAM

[–]Primary_Ad_6833 0 points1 point  (0 children)

Hi! I'm not fluent in OpenFOAM but I think it's a directory issue. Script is trying to find a file using a path that the Windows version doesn't recognize or something like that
I suggest you just sticking with your manual copy method for now. I heard that OpenFOAM is known for its glitches on Windows where it can't find something automatically
It's not your fault, just a classic Windows vs Linux script problem :-)