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SiC (Silicon carbide)

Semiconductors and photonic platforms integrated-photonicsanisotropic

10 datasets, together covering 0.006154–150 µm. Default: Singh et al. 1971: α-SiC; n(o) 0.488–1.064 µm.

Use it in Lightsmith

Load this data in Python, simulate in one more line

pip install lightsmith

import lightsmith as ls

# SiC (Silicon carbide): Singh et al. 1971: α-SiC; n(o) 0.488–1.064 µm
sic = ls.fetch_refractiveindex("main", "SiC", "Singh-o", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(sic.range_nm)  # (488, 1064) nm
eps = sic.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_8d7357514b10/lightsmith"
sic = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(sic.source)  # citation and provenance travel with the data

Any dataset here, as the library's Tabulated material (sic/singh-1971-o).

# ... load sic as above, then:
sim = ls.Simulation(
    particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=sic)],
    medium_index=1.0,
    wavelengths=ls.WavelengthRange(start_nm=488, 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_8d7357514b10/lightsmith?model=drude_lorentz"
sic_dl = ls.DrudeLorentz.model_validate(json.load(urllib.request.urlopen(url)))

A dispersive Drude–Lorentz model for time-domain solvers.

Materials guide Open a sphere of it in Studio Quick start Ask the community

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 SiC (Silicon carbide)

Silicon carbide (SiC) is a robust and hard compound characterized by its high thermal conductivity, high electric field breakdown strength, and high power frequency. Its hardness is second only to diamond, which makes it an ideal material for abrasive applications. SiC possesses excellent thermal stability, allowing it to maintain its structural integrity in high-temperature environments. As a result, it is commonly used in power electronics, especially in high voltage devices, due to its ability to operate at high temperatures. In the realm of optoelectronics, SiC serves as a substrate for LED production, given its beneficial bandgap properties. Furthermore, its thermal and chemical resistance has made it a favored material in automotive applications, specifically for brake discs. In recent years, its transparent nature in some infrared spectra has led to research into its use for transparent armor and windows. Its unique combination of electrical, thermal, and mechanical properties position SiC as a pivotal material for various high-performance applications.

Other names: Silicon carbide, α-SiC, 3C-SiC, β-SiC

API: /v1/materials/mat_1e8dedcc634f · slug sic