Shkondin

Data for Main / Tin / Shkondin

import os
import matplotlib.pyplot as plt
import numpy as np
import refidx as ri

plt.style.use("../../doc/refidx.mplstyle")
db = ri.DataBase()
matid = ['main', 'TiN', 'Shkondin']
mat = db.get_item(matid)
wr = mat.wavelength_range
lamb = np.linspace(*wr, 1000)
index = mat.get_index(lamb)
fig, ax = plt.subplots(2, 1, figsize=(3, 3))
ax[0].plot(lamb, index.real, "-", color="#aa0044")
ax[1].plot(lamb, index.imag, "-", color="#6886b3")
ax[0].set_xlabel(r"Wavelength ($\rm μm$)")
ax[1].set_xlabel(r"Wavelength ($\rm μm$)")
ax[0].set_ylabel(r"$n^{\prime}$")
ax[1].set_ylabel(r"$n^{\prime\prime}$")
plt.suptitle(mat)
mat.print_info(
    html=True,
    tmp_dir=os.path.join("..","..", "doc", "auto_gallery","TiN"),
    filename="out_main_TiN_Shkondin.html",
)

Comments

105 nm thick titanium nitride (TiN) film on Si substrate as deposited (not annealed).

References

E. Shkondin, T. Repän, O. Takayama, and A. V. Lavrinenko. High aspect ratio titanium nitride trench structures as plasmonic biosensor, Opt. Mater. Express 7, 4171-4182 (2017) (Numerical data kindly provided by Osamu Takayama)

Estimated memory usage: 225 MB