You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
hi, thanks a lot for the nice RCWA tool. I have a question about improving the simulation efficiency:
In my model, there are several layers behind the grating. Among these layers, one of them is air (say, Layer 1). My goal is to extract the electric field pattern within the target layer (let's say Layer N). Furthermore, I need to collect the results for varying air gaps, i.e. with different thicknesses of Layer 1.
In principle, I can set it as several independent simulation jobs. In each job, I create a sim object, add the information of each layer and solve this object, in a repeated way. However, because the grating layer remains the same in all these sub-jobs, there are a lot of duplication computations done in this approach, and it results in a long running time.
I wonder in this case, where the variation of the input parameter is only the thickness of one uniform layer, would it be possible to get the simulations done more efficiently?
I hope I have explained myself clearly. Thank you very much in advance!
The text was updated successfully, but these errors were encountered:
Dear authors,
hi, thanks a lot for the nice RCWA tool. I have a question about improving the simulation efficiency:
In my model, there are several layers behind the grating. Among these layers, one of them is air (say, Layer 1). My goal is to extract the electric field pattern within the target layer (let's say Layer N). Furthermore, I need to collect the results for varying air gaps, i.e. with different thicknesses of Layer 1.
In principle, I can set it as several independent simulation jobs. In each job, I create a
sim
object, add the information of each layer and solve this object, in a repeated way. However, because the grating layer remains the same in all these sub-jobs, there are a lot of duplication computations done in this approach, and it results in a long running time.I wonder in this case, where the variation of the input parameter is only the thickness of one uniform layer, would it be possible to get the simulations done more efficiently?
I hope I have explained myself clearly. Thank you very much in advance!
The text was updated successfully, but these errors were encountered: