Si-O (Non-stoichiometric silicon oxide)

6 datasets, together covering 5–25 µm. Default: Herguedas and Carretero 2023: SiO0.31; n,k 5.0–25 µm.

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

Datasets

Use it in Lightsmith

Load this data in Python, simulate in one more line

pip install lightsmith

import lightsmith as ls

# Si-O (Non-stoichiometric silicon oxide): Herguedas and Carretero 2023: SiO0.31; n,k 5.0–25 µm
si_o = ls.fetch_refractiveindex("other", "Si-O", "Herguedas-SiO0.31", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(si_o.range_nm)  # (5000, 25000) nm
eps = si_o.eps([11200])  # 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_b7c5d3912218/lightsmith"
si_o = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(si_o.source)  # citation and provenance travel with the data

Any dataset here, as the library's Tabulated material (si-o/herguedas-carretero-2023-sio0-31).

# ... load si_o as above, then:
sim = ls.Simulation(
    particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=si_o)],
    medium_index=1.0,
    wavelengths=ls.WavelengthRange(start_nm=5000, stop_nm=25000, 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"]).

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 Si-O (Non-stoichiometric silicon oxide)

Nonstoichiometric silicon oxide (SiO_x) holds a significant place in diverse technological and scientific domains. Its composition isn't fixed, indicated by the 'x' in the formula, which underscores the variability in oxygen content. This inherent flexibility enables a customization of properties, yielding materials with tailored electrical, optical, and physical characteristics. In contexts spanning from optics to microelectronics, SiO_x is valued for its adaptable refractive indices and electrical behaviors, making it a versatile material in the manufacturing of sensors, waveguides, and various other devices. The ability to precisely control its nonstoichiometric composition via advanced fabrication and treatment methods underpins its widespread applicability. From semiconductor technologies to advanced coatings and an array of other applications, SiO_x continues to be instrumental due to its customizable and diverse property profile.

Other names: Non-stoichiometric silicon oxide, SiO_x

Non-stoichiometric compound - Wikipedia

API: /v1/materials/mat_9d49802b6dff · slug si-o