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The adjoint and finite-difference gradients are inconsistent when the `EigenmodeCoefficient` adjoint solver in Meep is applied to a case similar to that in @oskooi's [metagrating-meep.py](https://gith…
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Hello, I am wanting to use the Pukhov solver with dt_multiplier =1.0, but when I have run my input deck, it appears to be giving me a c*dt/dx value of around 0.707 when I run using the following bound…
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**Description**
The `grad` values from autograd are quite different from those produced by JAX.
From Autograd:
![image](https://github.com/user-attachments/assets/7019786f-a80b-4efb-965f-e76e99fe…
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It might be nice to be able to pass a user defined apodization function to the `get_flux_data()` and `get_eigenmode_coefficients()` functions. For high q devices (i.e. ring resonators) it's important …
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**Background**
As mentioned to some members of the Team, in today's 2PM Meeting Erdem and me faced the following situation and possible use-case:
- Erdem's Team (in this particular case it's Cosim…
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## Problem
Modal group index calculations take a while, and cost a lot. That's because they use finite differences.
Aside from the cost, it becomes quite problematic to finite difference when s…
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When running `Tools/performance_tests/automated_test_2_uniform_rest_1ppc` on 1 node on Summit with
```sh
#!/bin/bash
#BSUB -P APH114
#BSUB -W 0:26
#BSUB -nnodes 1
#BSUB -J automated_test_1_unifo…
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Have you seen the [Adjoint plugin in Tidy3D](https://docs.flexcompute.com/projects/tidy3d/en/v1.9.0rc1/notebooks/AdjointPlugin_3_InverseDesign.html)?
Seems quite interesting to me as a alternative to…
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Hi,
I am trying to write something similar to a **leap-frog** scheme in FiPy. I am trying to understand two things:
#### 1. I want to implement the curl of another vector field as a source term.…
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Hi Thorsten, this is more of a question rather than a technical issue/bug, but since the forum is down at the moment, I thought I'd ask here (sorry for the long question - thought I'd try to be as tho…