Optical constants
Refractive index of TiO2 (Titanium dioxide)
Bodurov et al. 2016: Nanoparticles; n 0.405–0.635 µm
- Data
- formula 1
- Range
- 0.405–0.635 µm
- Temperature
- 297 K
- Licence
- CC0-1.0
Plot
Click the plot to set the calculator wavelength.
At one wavelength
- Refractive index n
- 2.50884
- Extinction coefficient k
- 0
- Permittivity ε1
- 6.29426
- Permittivity ε2
- 0
- Absorption coefficient α
- 0 cm⁻¹
- Penetration depth δ = λ/(2πk)
- — nm
- Abbe number Vd
- —
- Chromatic dispersion dn/dλ
- -0.471711 µm⁻¹
- Group index ng
- 2.78601
- Group velocity dispersion
- 984.914 fs²/mm
- Dispersion parameter D
- -5373.23 ps/(nm·km)
- Photon energy
- 2.11001 eV
ε = (n + ik)², α = 4πk/λ, ng = n − λ dn/dλ, GVD = λ³/(2πc²) d²n/dλ², D = −(λ/c) d²n/dλ². Group-velocity dispersion is given for formula data only.
Use it in Lightsmith
Load this data in Python, simulate in one more line
pip install lightsmith
import lightsmith as ls
# TiO2 (Titanium dioxide): Bodurov et al. 2016: Nanoparticles; n 0.405–0.635 µm
tio2 = ls.fetch_refractiveindex("main", "TiO2", "Bodurov", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(tio2.range_nm) # (405, 635) nm
eps = tio2.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_1bf3a9a14bbe/lightsmith"
tio2 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(tio2.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (tio2/bodurov-2016).
# ... load tio2 as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=tio2)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=405, stop_nm=635, 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"]).
import json, urllib.request
import lightsmith as ls
url = "https://materials.lightsmith.dev/v1/datasets/ds_1bf3a9a14bbe/lightsmith?model=drude_lorentz"
tio2_dl = ls.DrudeLorentz.model_validate(json.load(urllib.request.urlopen(url)))
A dispersive Drude–Lorentz model for time-domain solvers.
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.
Dispersion formula
Sellmeier (formula 1), λ in µmValid from 0.405 to 0.635 µm.
Coefficients as stored
| Ci | Value |
|---|---|
| C1 | 0.0 |
| C2 | 4.6796 |
| C3 | 0.2002148 |
Comments and conditions
Conditions
- temperature
- 297 K
References
Cite
I. Bodurov, I. Vlaeva, A. Viraneva, T. Yovcheva, S. Sainov. Modified design of a laser refractometer, Nanoscience & Nanotechnology 16, 31-33 (2016); Data from the refractiveindex.info database (M. N. Polyanskiy, Sci. Data 11, 94 (2024), doi:10.1038/s41597-023-02898-2)
Data
Computed on 400 wavelengths, the same grid as the API and the library| λ (µm) | n |
|---|---|
| 0.405 | 2.682002 |
| 0.405457 | 2.681162 |
| 0.405914 | 2.680324 |
| 0.406372 | 2.67949 |
| 0.40683 | 2.678658 |
| 0.407289 | 2.677829 |
| 0.407748 | 2.677002 |
| 0.408208 | 2.676179 |
| 0.408669 | 2.675358 |
| 0.409129 | 2.67454 |
| 0.409591 | 2.673725 |
| 0.410053 | 2.672913 |
| 0.410515 | 2.672103 |
| 0.410978 | 2.671296 |
| 0.411442 | 2.670492 |
| 0.411906 | 2.66969 |
| 0.41237 | 2.668891 |
| 0.412835 | 2.668095 |
| 0.413301 | 2.667301 |
| 0.413767 | 2.66651 |
| 0.414234 | 2.665722 |
| 0.414701 | 2.664936 |
| 0.415169 | 2.664153 |
| 0.415637 | 2.663372 |
| 0.416106 | 2.662595 |
| 0.416575 | 2.661819 |
| 0.417045 | 2.661046 |
| 0.417515 | 2.660276 |
| 0.417986 | 2.659509 |
| 0.418457 | 2.658743 |
| 0.418929 | 2.657981 |
| 0.419402 | 2.657221 |
| 0.419875 | 2.656463 |
| 0.420348 | 2.655708 |
| 0.420822 | 2.654956 |
| 0.421297 | 2.654205 |
| 0.421772 | 2.653458 |
| 0.422248 | 2.652712 |
| 0.422724 | 2.65197 |
| 0.423201 | 2.651229 |
| 0.423678 | 2.650491 |
| 0.424156 | 2.649756 |
| 0.424634 | 2.649023 |
| 0.425113 | 2.648292 |
| 0.425592 | 2.647564 |
| 0.426072 | 2.646838 |
| 0.426553 | 2.646114 |
| 0.427034 | 2.645393 |
| 0.427516 | 2.644674 |
| 0.427998 | 2.643957 |
| 0.42848 | 2.643243 |
| 0.428964 | 2.642531 |
| 0.429448 | 2.641822 |
| 0.429932 | 2.641114 |
| 0.430417 | 2.640409 |
| 0.430902 | 2.639706 |
| 0.431388 | 2.639006 |
| 0.431875 | 2.638308 |
| 0.432362 | 2.637612 |
| 0.432849 | 2.636918 |
| 0.433337 | 2.636226 |
| 0.433826 | 2.635537 |
| 0.434315 | 2.63485 |
| 0.434805 | 2.634165 |
| 0.435296 | 2.633482 |
| 0.435787 | 2.632802 |
| 0.436278 | 2.632123 |
| 0.43677 | 2.631447 |
| 0.437263 | 2.630773 |
| 0.437756 | 2.630101 |
| 0.43825 | 2.629431 |
| 0.438744 | 2.628764 |
| 0.439239 | 2.628098 |
| 0.439734 | 2.627435 |
| 0.44023 | 2.626774 |
| 0.440726 | 2.626115 |
| 0.441223 | 2.625457 |
| 0.441721 | 2.624802 |
| 0.442219 | 2.62415 |
| 0.442718 | 2.623499 |
| 0.443217 | 2.62285 |
| 0.443717 | 2.622203 |
| 0.444218 | 2.621558 |
| 0.444719 | 2.620916 |
| 0.44522 | 2.620275 |
| 0.445722 | 2.619636 |
| 0.446225 | 2.619 |
| 0.446728 | 2.618365 |
| 0.447232 | 2.617733 |
| 0.447736 | 2.617102 |
| 0.448241 | 2.616473 |
| 0.448747 | 2.615847 |
| 0.449253 | 2.615222 |
| 0.44976 | 2.614599 |
| 0.450267 | 2.613978 |
| 0.450775 | 2.613359 |
| 0.451283 | 2.612742 |
| 0.451792 | 2.612127 |
| 0.452302 | 2.611514 |
| 0.452812 | 2.610903 |
| 0.453322 | 2.610294 |
| 0.453834 | 2.609686 |
| 0.454345 | 2.609081 |
| 0.454858 | 2.608477 |
| 0.455371 | 2.607875 |
| 0.455884 | 2.607275 |
| 0.456398 | 2.606677 |
| 0.456913 | 2.606081 |
| 0.457429 | 2.605487 |
| 0.457944 | 2.604894 |
| 0.458461 | 2.604304 |
| 0.458978 | 2.603715 |
| 0.459496 | 2.603128 |
| 0.460014 | 2.602542 |
| 0.460533 | 2.601959 |
| 0.461052 | 2.601377 |
| 0.461572 | 2.600798 |
| 0.462093 | 2.600219 |
| 0.462614 | 2.599643 |
| 0.463135 | 2.599069 |
| 0.463658 | 2.598496 |
| 0.464181 | 2.597925 |
| 0.464704 | 2.597356 |
| 0.465228 | 2.596788 |
| 0.465753 | 2.596222 |
| 0.466278 | 2.595658 |
| 0.466804 | 2.595096 |
| 0.467331 | 2.594535 |
| 0.467858 | 2.593976 |
| 0.468385 | 2.593419 |
| 0.468913 | 2.592863 |
| 0.469442 | 2.59231 |
| 0.469972 | 2.591757 |
| 0.470502 | 2.591207 |
| 0.471032 | 2.590658 |
| 0.471564 | 2.590111 |
| 0.472095 | 2.589566 |
| 0.472628 | 2.589022 |
| 0.473161 | 2.58848 |
| 0.473695 | 2.587939 |
| 0.474229 | 2.5874 |
| 0.474764 | 2.586863 |
| 0.475299 | 2.586327 |
| 0.475835 | 2.585793 |
| 0.476372 | 2.585261 |
| 0.476909 | 2.58473 |
| 0.477447 | 2.584201 |
| 0.477985 | 2.583673 |
| 0.478524 | 2.583147 |
| 0.479064 | 2.582622 |
| 0.479604 | 2.582099 |
| 0.480145 | 2.581578 |
| 0.480687 | 2.581058 |
| 0.481229 | 2.58054 |
| 0.481772 | 2.580023 |
| 0.482315 | 2.579508 |
| 0.482859 | 2.578995 |
| 0.483403 | 2.578483 |
| 0.483949 | 2.577972 |
| 0.484494 | 2.577463 |
| 0.485041 | 2.576956 |
| 0.485588 | 2.57645 |
| 0.486136 | 2.575945 |
| 0.486684 | 2.575442 |
| 0.487233 | 2.574941 |
| 0.487782 | 2.574441 |
| 0.488332 | 2.573942 |
| 0.488883 | 2.573445 |
| 0.489434 | 2.57295 |
| 0.489986 | 2.572456 |
| 0.490539 | 2.571963 |
| 0.491092 | 2.571472 |
| 0.491646 | 2.570982 |
| 0.492201 | 2.570494 |
| 0.492756 | 2.570007 |
| 0.493311 | 2.569522 |
| 0.493868 | 2.569038 |
| 0.494425 | 2.568555 |
| 0.494982 | 2.568074 |
| 0.495541 | 2.567595 |
| 0.496099 | 2.567116 |
| 0.496659 | 2.566639 |
| 0.497219 | 2.566164 |
| 0.49778 | 2.56569 |
| 0.498341 | 2.565217 |
| 0.498903 | 2.564746 |
| 0.499466 | 2.564276 |
| 0.500029 | 2.563808 |
| 0.500593 | 2.56334 |
| 0.501158 | 2.562875 |
| 0.501723 | 2.56241 |
| 0.502289 | 2.561947 |
| 0.502855 | 2.561486 |
| 0.503422 | 2.561025 |
| 0.50399 | 2.560566 |
| 0.504559 | 2.560108 |
| 0.505128 | 2.559652 |
| 0.505697 | 2.559197 |
| 0.506268 | 2.558743 |
| 0.506839 | 2.558291 |
| 0.50741 | 2.55784 |
| 0.507982 | 2.55739 |
| 0.508555 | 2.556942 |
| 0.509129 | 2.556495 |
| 0.509703 | 2.556049 |
| 0.510278 | 2.555604 |
| 0.510853 | 2.555161 |
| 0.51143 | 2.554719 |
| 0.512006 | 2.554278 |
| 0.512584 | 2.553839 |
| 0.513162 | 2.553401 |
| 0.513741 | 2.552964 |
| 0.51432 | 2.552528 |
| 0.5149 | 2.552094 |
| 0.515481 | 2.551661 |
| 0.516062 | 2.551229 |
| 0.516644 | 2.550798 |
| 0.517227 | 2.550369 |
| 0.51781 | 2.549941 |
| 0.518394 | 2.549514 |
| 0.518979 | 2.549088 |
| 0.519564 | 2.548664 |
| 0.52015 | 2.54824 |
| 0.520737 | 2.547818 |
| 0.521324 | 2.547398 |
| 0.521912 | 2.546978 |
| 0.5225 | 2.546559 |
| 0.52309 | 2.546142 |
| 0.52368 | 2.545726 |
| 0.52427 | 2.545311 |
| 0.524862 | 2.544898 |
| 0.525453 | 2.544485 |
| 0.526046 | 2.544074 |
| 0.526639 | 2.543664 |
| 0.527233 | 2.543255 |
| 0.527828 | 2.542847 |
| 0.528423 | 2.54244 |
| 0.529019 | 2.542035 |
| 0.529616 | 2.541631 |
| 0.530213 | 2.541228 |
| 0.530811 | 2.540826 |
| 0.53141 | 2.540425 |
| 0.532009 | 2.540025 |
| 0.532609 | 2.539626 |
| 0.53321 | 2.539229 |
| 0.533811 | 2.538832 |
| 0.534413 | 2.538437 |
| 0.535016 | 2.538043 |
| 0.535619 | 2.53765 |
| 0.536223 | 2.537258 |
| 0.536828 | 2.536867 |
| 0.537433 | 2.536478 |
| 0.53804 | 2.536089 |
| 0.538646 | 2.535702 |
| 0.539254 | 2.535315 |
| 0.539862 | 2.53493 |
| 0.540471 | 2.534546 |
| 0.54108 | 2.534163 |
| 0.541691 | 2.533781 |
| 0.542302 | 2.5334 |
| 0.542913 | 2.53302 |
| 0.543525 | 2.532641 |
| 0.544138 | 2.532263 |
| 0.544752 | 2.531887 |
| 0.545366 | 2.531511 |
| 0.545982 | 2.531136 |
| 0.546597 | 2.530763 |
| 0.547214 | 2.53039 |
| 0.547831 | 2.530019 |
| 0.548449 | 2.529648 |
| 0.549067 | 2.529279 |
| 0.549687 | 2.528911 |
| 0.550306 | 2.528543 |
| 0.550927 | 2.528177 |
| 0.551548 | 2.527812 |
| 0.55217 | 2.527447 |
| 0.552793 | 2.527084 |
| 0.553417 | 2.526722 |
| 0.554041 | 2.526361 |
| 0.554666 | 2.526001 |
| 0.555291 | 2.525641 |
| 0.555917 | 2.525283 |
| 0.556544 | 2.524926 |
| 0.557172 | 2.52457 |
| 0.5578 | 2.524215 |
| 0.55843 | 2.52386 |
| 0.559059 | 2.523507 |
| 0.55969 | 2.523155 |
| 0.560321 | 2.522803 |
| 0.560953 | 2.522453 |
| 0.561586 | 2.522104 |
| 0.562219 | 2.521755 |
| 0.562853 | 2.521408 |
| 0.563488 | 2.521061 |
| 0.564123 | 2.520716 |
| 0.56476 | 2.520371 |
| 0.565396 | 2.520028 |
| 0.566034 | 2.519685 |
| 0.566673 | 2.519343 |
| 0.567312 | 2.519003 |
| 0.567951 | 2.518663 |
| 0.568592 | 2.518324 |
| 0.569233 | 2.517986 |
| 0.569875 | 2.517649 |
| 0.570518 | 2.517313 |
| 0.571161 | 2.516978 |
| 0.571805 | 2.516643 |
| 0.57245 | 2.51631 |
| 0.573096 | 2.515978 |
| 0.573742 | 2.515646 |
| 0.574389 | 2.515316 |
| 0.575037 | 2.514986 |
| 0.575686 | 2.514657 |
| 0.576335 | 2.514329 |
| 0.576985 | 2.514002 |
| 0.577636 | 2.513676 |
| 0.578287 | 2.513351 |
| 0.578939 | 2.513027 |
| 0.579592 | 2.512703 |
| 0.580246 | 2.512381 |
| 0.5809 | 2.512059 |
| 0.581555 | 2.511738 |
| 0.582211 | 2.511418 |
| 0.582868 | 2.511099 |
| 0.583525 | 2.510781 |
| 0.584183 | 2.510464 |
| 0.584842 | 2.510147 |
| 0.585502 | 2.509832 |
| 0.586162 | 2.509517 |
| 0.586823 | 2.509203 |
| 0.587485 | 2.50889 |
| 0.588148 | 2.508578 |
| 0.588811 | 2.508267 |
| 0.589475 | 2.507956 |
| 0.59014 | 2.507647 |
| 0.590805 | 2.507338 |
| 0.591472 | 2.50703 |
| 0.592139 | 2.506723 |
| 0.592807 | 2.506417 |
| 0.593475 | 2.506111 |
| 0.594144 | 2.505807 |
| 0.594814 | 2.505503 |
| 0.595485 | 2.5052 |
| 0.596157 | 2.504898 |
| 0.596829 | 2.504597 |
| 0.597502 | 2.504296 |
| 0.598176 | 2.503996 |
| 0.598851 | 2.503697 |
| 0.599526 | 2.503399 |
| 0.600202 | 2.503102 |
| 0.600879 | 2.502806 |
| 0.601557 | 2.50251 |
| 0.602235 | 2.502215 |
| 0.602915 | 2.501921 |
| 0.603595 | 2.501628 |
| 0.604275 | 2.501335 |
| 0.604957 | 2.501043 |
| 0.605639 | 2.500752 |
| 0.606322 | 2.500462 |
| 0.607006 | 2.500173 |
| 0.60769 | 2.499884 |
| 0.608376 | 2.499597 |
| 0.609062 | 2.499309 |
| 0.609749 | 2.499023 |
| 0.610437 | 2.498738 |
| 0.611125 | 2.498453 |
| 0.611814 | 2.498169 |
| 0.612504 | 2.497886 |
| 0.613195 | 2.497603 |
| 0.613887 | 2.497322 |
| 0.614579 | 2.497041 |
| 0.615272 | 2.49676 |
| 0.615966 | 2.496481 |
| 0.616661 | 2.496202 |
| 0.617356 | 2.495924 |
| 0.618052 | 2.495647 |
| 0.618749 | 2.495371 |
| 0.619447 | 2.495095 |
| 0.620146 | 2.49482 |
| 0.620845 | 2.494545 |
| 0.621545 | 2.494272 |
| 0.622246 | 2.493999 |
| 0.622948 | 2.493727 |
| 0.623651 | 2.493456 |
| 0.624354 | 2.493185 |
| 0.625058 | 2.492915 |
| 0.625763 | 2.492646 |
| 0.626469 | 2.492377 |
| 0.627175 | 2.49211 |
| 0.627883 | 2.491843 |
| 0.628591 | 2.491576 |
| 0.6293 | 2.491311 |
| 0.630009 | 2.491046 |
| 0.63072 | 2.490781 |
| 0.631431 | 2.490518 |
| 0.632143 | 2.490255 |
| 0.632856 | 2.489993 |
| 0.63357 | 2.489731 |
| 0.634285 | 2.489471 |
| 0.635 | 2.48921 |
Optical transmission calculator
Free-standing sample in vacuum, normal incidence- Transmittance T
- —
- Reflectance R
- —
Fresnel reflection calculator
- Rp
- —
- Rs
- —
- R = (Rp+Rs)/2
- —
- Phase φp
- —
- Phase φs
- —
- Brewster angle θB
- —
- Critical angle θC
- —
Titanium dioxide in anatase phase. <35 nm diameter nanoparticles dispersed in water. Concentration 5 wt.%. 24 °C. Refractive index of nanoparticles calculated using Bruggeman's effective medium approximation.