PBDB-T:ITIC

Polymers and photoresists

1 dataset, together covering 0.3733–1.605 µm. Default: Kerremans et al. 2020: n,k 0.37–1.6 µm.

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

Datasets

Kerremans et al. 2020: n,k 0.37–1.6 µm n,k 0.3733–1.605 µm default

Use it in Lightsmith

Load this data in Python, simulate in one more line

pip install lightsmith

import lightsmith as ls

# PBDB-T:ITIC: Kerremans et al. 2020: n,k 0.37–1.6 µm
pbdbt_itic = ls.fetch_refractiveindex("other", "PBDBT-ITIC", "Kerremans", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(pbdbt_itic.range_nm)  # (373.3, 1604.5) nm
eps = pbdbt_itic.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_a31afcd7dc12/lightsmith"
pbdbt_itic = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(pbdbt_itic.source)  # citation and provenance travel with the data

Any dataset here, as the library's Tabulated material (pbdbt-itic/kerremans-2020).

# ... load pbdbt_itic as above, then:
sim = ls.Simulation(
    particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=pbdbt_itic)],
    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 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 PBDB-T:ITIC

Applications: Solar cells PBDB-T chemical composition: (C₆₈H₇₈O₂S₈)_n ITIC chemical composition: C₉₄H₈₂N₄O₂S₄

Other names: {'PBDB-T': 'ITIC'}

API: /v1/materials/mat_fd161c87a58c · slug pbdbt-itic