bamsolve
Predict photonic circuits with AI. The API is free during the public alpha. Get a key at https://bamsolve.netlify.app/#get-key.
pip install bamsolve
from bamsolve import Layer, Stack, bamsolve, pred
bamsolve(api_key="bsk_...")
stack = Stack(clad=1.444, layers={(1, 0): Layer(n=3.48, z=(0.0, 0.22), angle=5.0)})
dev = stack("ebeam_y_1550.gds")
res = pred(dev, inputs={((1, 10), "TE", 1.55)})
res.S, res.n_eff, res.E # S-matrix [wavelength, out, in], effective index, complex field
res.export_s("ebeam_y_1550.s3p")
The default API address is https://api.89.167.60.208.nip.io.
To use a custom server, set its URL before you call pred:
bamsolve(api_key="bsk_...", url="https://YOUR_API_HOST")
You can also set the BAMSOLVE_URL environment variable before you import the module.
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Release files for bamsolve 0.1.0
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| bamsolve-0.1.0.tar.gz | 2.9 kB | Details |
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| bamsolve-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.2 kB
Release files / bamsolve-0.1.0.tar.gz
| Download URL | bamsolve-0.1.0.tar.gz |
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| Size | 2.9 kB |
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Release files / bamsolve-0.1.0-py3-none-any.whl
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| Size | 3.3 kB |
| Tags | Python 3 |
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