Ag (Silver)
21 datasets, together covering 2.48e-06–248 µm. Default: Johnson and Christy 1972: n,k 0.188–1.94 µm.
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Datasets
Experimental data: bulk, thick film
- Johnson and Christy 1972: n,k 0.188–1.94 µm
- Choi et al. 2020: n,k 1.23–6.99 µm
- Ferrera et al. 2019: n,k 0.245–1.45 µm; 298 K
- Ferrera et al. 2019: n,k 0.245–1.45 µm; 404 K
- Ferrera et al. 2019: n,k 0.245–1.45 µm; 501 K
- Ferrera et al. 2019: n,k 0.245–1.45 µm; 600 K
- Jiang et al. 2016: n,k 0.300–2.000 µm
- Yang et al. 2015: n,k 0.270–24.9 µm
- McPeak et al. 2015: n,k 0.3–1.7 µm
- Babar and Weaver 2015: n,k 0.207–12.4 µm
- Wu et al. 2014: n,k 0.29–1.00 µm
- Werner et al. 2009: n,k 0.0176–2.48 µm
- Stahrenberg et al. 2001: n,k 0.128–0.496 µm
- Windt et al. 1988: n,k 0.0024–0.122 µm
- Hagemann et al. 1974: n,k 2.48e-6-248 µm
Experimental data: thin film
Models and simulations
Use it in Lightsmith
Load this data in Python, simulate in one more line
pip install lightsmith
import lightsmith as ls
# Ag (Silver): Johnson and Christy 1972: n,k 0.188–1.94 µm
ag = ls.LibraryMaterial(name="Ag", dataset="Johnson-Christy")
print(ag.range_nm) # (187.9, 1937) nm
eps = ag.eps([633]) # complex permittivityShips with the library: works offline and is the library's own default dataset choice.
import lightsmith as ls
# Ag (Silver): Johnson and Christy 1972: n,k 0.188–1.94 µm
ag = ls.fetch_refractiveindex("main", "Ag", "Johnson", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(ag.range_nm) # (187.9, 1937) nm
eps = ag.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_3c55dea38b84/lightsmith"
ag = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(ag.source) # citation and provenance travel with the dataAny dataset here, as the library's Tabulated material (ag/johnson-christy-1972).
# ... load ag as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=ag)],
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 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 Ag (Silver)
Silver (Ag) is a highly reflective metal known for its excellent electrical and thermal conductivity, making it a material of interest in a variety of optical and electronic applications. In the realm of optics, silver is frequently used as a coating material for mirrors due to its high reflectivity across a broad range of wavelengths, from ultraviolet to infrared. Additionally, silver nanoparticles are employed in plasmonic devices, enhancing light-matter interactions at the nanoscale. While the metal is highly stable under most conditions, it is susceptible to tarnishing in the presence of sulfur compounds, which can diminish its optical performance over time. Silver's unique combination of properties, including its unparalleled reflectivity and high electrical conductivity, makes it a versatile material in the field of optics and photonics. Note that its refractive index can vary depending on the form in which it is used, such as bulk silver, thin films, or nanoparticles, making it crucial to consult specific data for particular applications.
Other names: Silver, silver
Also listed in
API: /v1/materials/mat_9a7c1c6d6280 · slug ag