Ge (Germanium)
Semiconductors and photonic platforms integrated-photonics
19 datasets, together covering 0.1879–18 µm. Default: Aspnes and Studna 1983: n,k 0.21–0.83 µm.
Compare datasets
Tick datasets in the list to add them to the plot (up to 12).
Datasets
Bulk, thick film
- Aspnes and Studna 1983: n,k 0.21–0.83 µm
- Amotchkina et al, 2020: n,k 0.400–11.0 µm
- Nunley et al, 2016: n,k 0.188–2.48 µm
- Burnett et al. 2016: n 2.00–14.0 µm
- Jellison 1992: n,k 0.234–0.840 µm
- Li 1980: n 1.9–18 µm; 100 K
- Li 1980: n 1.9–18 µm; 150 K
- Li 1980: n 1.9–18 µm; 200 K
- Li 1980: n 1.9–18 µm; 250 K
- Li 1980: n 1.9–18 µm; 293 K
- Li 1980: n 1.9–18 µm; 350 K
- Li 1980: n 1.9–18 µm; 400 K
- Li 1980: n 1.9–18 µm; 450 K
- Li 1980: n 1.9–18 µm; 500 K
- Li 1980: n 1.9–18 µm; 550 K
- Icenogle et al. 1976: n 2.5–12 µm; 293 K
Thin film
Use it in Lightsmith
Load this data in Python, simulate in one more line
pip install lightsmith
import lightsmith as ls
# Ge (Germanium): Aspnes and Studna 1983: n,k 0.21–0.83 µm
ge = ls.fetch_refractiveindex("main", "Ge", "Aspnes", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(ge.range_nm) # (206.6, 826.6) nm
eps = ge.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_f1e44ee9f578/lightsmith"
ge = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(ge.source) # citation and provenance travel with the dataAny dataset here, as the library's Tabulated material (ge/aspnes-studna-1983).
# ... load ge as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=ge)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=400, stop_nm=826, 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 Ge (Germanium)
Germanium is a brittle, lustrous, gray-white metalloid with a diamond-like crystalline structure. While opaque in the visible spectrum, it becomes transparent in the mid-infrared range, from approximately 2 µm to 14 µm. This unique transparency makes germanium highly valuable in the field of infrared optics. It is commonly utilized as a material for lenses, windows, and prisms in thermal imaging systems, as well as a substrate for mid-infrared detectors and emitters. The material is also employed in semiconductor applications, particularly in the production of transistors and photodetectors.Due to its considerable thermal conductivity, it is commonly employed in high-power laser systems. However, its sensitivity to oxidation and high density may pose some limitations for certain applications.
Other names: Germanium
Also listed in
API: /v1/materials/mat_9d205691679c · slug ge