Nb:RbTiOPO4 (Niobium-doped rubidium titanyl phosphate, Nb:RTP)
Glasses, oxides and dielectrics anisotropic
3 datasets, together covering 0.4–1.5 µm. Default: Carvajal et al. 2007: n(α) 0.4–1.5 µm.
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Use it in Lightsmith
Load this data in Python, simulate in one more line
pip install lightsmith
import lightsmith as ls
# Nb:RbTiOPO4 (Niobium-doped rubidium titanyl phosphate, Nb:RTP): Carvajal et al. 2007: n(α) 0.4–1.5 µm
nb_rbtiopo4 = ls.fetch_refractiveindex("other", "Nb-RbTiOPO4", "Carvajal-α", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(nb_rbtiopo4.range_nm) # (400, 1500) nm
eps = nb_rbtiopo4.eps([633]) # 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_7e9718e16355/lightsmith"
nb_rbtiopo4 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(nb_rbtiopo4.source) # citation and provenance travel with the dataAny dataset here, as the library's Tabulated material (nb-rbtiopo4/carvajal-2007).
# ... load nb_rbtiopo4 as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=nb_rbtiopo4)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=400, stop_nm=1000, 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 Nb:RbTiOPO4 (Niobium-doped rubidium titanyl phosphate, Nb:RTP)
Other names: Niobium-doped rubidium titanyl phosphate, Nb:RTP, Niobium-doped rubidium titanyl phosphate, {'Nb': 'RbTiOPO4'}, {'Nb': 'RTP'}
API: /v1/materials/mat_c408aa25152c · slug nb-rbtiopo4