Nanoscribe IP-Dip
Polymers and photoresists photoresist
2 datasets, together covering 199.9–997.7 µm. Default: Mavrona et al. 2023: Uncured; n,k 200–998 µm.
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Datasets
Use it in Lightsmith
Load this data in Python, simulate in one more line
pip install lightsmith
import lightsmith as ls
# Nanoscribe IP-Dip: Mavrona et al. 2023: Uncured; n,k 200–998 µm
mat = ls.fetch_refractiveindex("other", "Nanoscribe_IP-Dip", "Mavrona-uncured", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(mat.range_nm) # (199861, 997678) nm
eps = mat.eps([447000]) # complex permittivityDownloads the original record once (pinned to the imported snapshot) and caches it.
import json, urllib.request
import lightsmith as ls
url = "https://materials.lightsmith.dev/v1/datasets/ds_4ad7f0578a57/lightsmith"
mat = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(mat.source) # citation and provenance travel with the dataAny dataset here, as the library's Tabulated material (nanoscribe-ip-dip/mavrona-2023-uncured).
# ... load mat as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=mat)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=199900, stop_nm=997700, num=81),
)
res = ls.solve(sim) # exact Mie for a sphere
print(res.q_ext) # extinction efficiency at each wavelengthSame spec runs with DDA, FDTD, BEM or T-matrix: ls.compare(sim, ["mie", "dda"]).
Lightsmith is open source (MIT): Mie, T-matrix, BEM, DDA, FDTD, RCWA, TMM, mode solvers and inverse design behind one spec, on CPU or GPU. GitHub.
About Nanoscribe IP-Dip
Other names: Nanoscribe_IP-Dip
API: /v1/materials/mat_c4f829b1fc2c · slug nanoscribe-ip-dip