ZnSiAs2 (Zinc silicon arsenide)
Semiconductors and photonic platforms anisotropic
2 datasets, together covering 0.7–11.5 µm. Default: Boyd et al. 1972: n(o) 0.7–11.5 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
# ZnSiAs2 (Zinc silicon arsenide): Boyd et al. 1972: n(o) 0.7–11.5 µm
znsias2 = ls.fetch_refractiveindex("main", "ZnSiAs2", "Boyd-o", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(znsias2.range_nm) # (700, 11500) nm
eps = znsias2.eps([2840]) # 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_aa3ecbd7ae0e/lightsmith"
znsias2 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(znsias2.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (znsias2/boyd-1972-o).
# ... load znsias2 as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=znsias2)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=700, 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"]).
import json, urllib.request
import lightsmith as ls
url = "https://materials.lightsmith.dev/v1/datasets/ds_aa3ecbd7ae0e/lightsmith?model=drude_lorentz"
znsias2_dl = ls.DrudeLorentz.model_validate(json.load(urllib.request.urlopen(url)))
A dispersive Drude–Lorentz model for time-domain solvers.
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 ZnSiAs2 (Zinc silicon arsenide)
Zinc silicon arsenide (ZnSiAs2) is a ternary III-V semiconductor compound that crystallizes in the chalcopyrite structure. It has interesting optical and electronic properties that make it a potential candidate for various applications. Due to its semiconducting nature, it has been studied for use in photovoltaic applications and infrared detectors. Its bandgap is suitable for absorbing a significant portion of the solar spectrum, potentially making it useful for solar cells. Additionally, it has been researched for its potential in electronic devices, given its unique combination of elements and the resulting electrical characteristics. While it is not as commonly used or as well-known as some binary compounds, ongoing research continues to explore its potential in optoelectronic applications.
Other names: Zinc silicon arsenide
API: /v1/materials/mat_e3c506ef253c · slug znsias2