CdSe/ZnCdS (Cadmium selenide / zinc cadmium sulfide core/shell)

Semiconductors and photonic platforms

1 dataset, together covering 0.35–1.2 µm. Default: Aftenieva et al. 2023: n,k 0.350–1.20 µm.

Compare datasets

Tick datasets in the list to add them to the plot (up to 12).

Datasets

Aftenieva et al. 2023: n,k 0.350–1.20 µm n,k 0.35–1.2 µm default

Use it in Lightsmith

Load this data in Python, simulate in one more line

pip install lightsmith

import lightsmith as ls

# CdSe/ZnCdS (Cadmium selenide / zinc cadmium sulfide core/shell): Aftenieva et al. 2023: n,k 0.350–1.20 µm
cdse_zncds = ls.fetch_refractiveindex("other", "CdSe-ZnCdS", "Aftenieva", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(cdse_zncds.range_nm)  # (350, 1200) nm
eps = cdse_zncds.eps([633])  # complex permittivity

Downloads 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_c0ebb88f3b56/lightsmith"
cdse_zncds = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(cdse_zncds.source)  # citation and provenance travel with the data

Any dataset here, as the library's Tabulated material (cdse-zncds/aftenieva-2023).

# ... load cdse_zncds as above, then:
sim = ls.Simulation(
    particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=cdse_zncds)],
    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 wavelength

Same spec runs with DDA, FDTD, BEM or T-matrix: ls.compare(sim, ["mie", "dda"]).

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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 CdSe/ZnCdS (Cadmium selenide / zinc cadmium sulfide core/shell)

Other names: Cadmium selenide / zinc cadmium sulfide core/shell

API: /v1/materials/mat_c6efa4d759bb · slug cdse-zncds