November 14, 2023 at 1:47 amAdam CallananSubscriber
I'm trying to do a SERS simulation of a 3D substrate, but Lumerical keeps crashing when I try to import the 3D substrate model (first image). Also, if I reduce the model into a smaller subsection (second image) it then gets stuck building the model. I realize the root of my problem is from how detailed the 3D model is, it's a 1.5 GB .STL file that was created using Blender. When looking at other SERS 3D simulation papers they usually just opt to simulate a single or pair of nanoparticles rather than a full nanoparticle structure. Has anyone done something similar or know what computer specs might be satisfactory for this project?
November 17, 2023 at 10:07 pmKyleAnsys Employee
It would be easier for the software to handle the geometry if it was built in the software with geometry objects like Spheres instead of importing a polygon with a large number of vertices.
That being said, even if you were able to build the geometry, running the simulation would require a large amount of computational resources due to the large simulation region small feature sizes. I can't really say how much unless you give a scale for these objects in your simulation, but it could easily require ~100s of GB of memory.
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