Nanoscribe IP-S

2 datasets, together covering 199.9–997.7 µm. Default: Mavrona et al. 2023: Uncured; n,k 200–998 µm.

Compare datasets

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

# Nanoscribe IP-S: Mavrona et al. 2023: Uncured; n,k 200–998 µm
nanoscribe_ip_s = ls.fetch_refractiveindex("other", "Nanoscribe_IP-S", "Mavrona-uncured", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(nanoscribe_ip_s.range_nm)  # (199861, 997678) nm
eps = nanoscribe_ip_s.eps([447000])  # 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_5c8cf8a9124e/lightsmith"
nanoscribe_ip_s = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(nanoscribe_ip_s.source)  # citation and provenance travel with the data

Any dataset here, as the library's Tabulated material (nanoscribe-ip-s/mavrona-2023-uncured).

# ... load nanoscribe_ip_s as above, then:
sim = ls.Simulation(
    particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=nanoscribe_ip_s)],
    medium_index=1.0,
    wavelengths=ls.WavelengthRange(start_nm=199900, stop_nm=997700, 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 Nanoscribe IP-S

Other names: Nanoscribe_IP-S

API: /v1/materials/mat_35803011be43 · slug nanoscribe-ip-s