Optical constants
Refractive index of (C2H6OSi)n (Polydimethylsiloxane, PDMS)
Schneider et al. 2009: RTV 615; n 0.35–0.70 µm
- Data
- formula 2
- Range
- 0.35–0.7 µm
- Licence
- CC0-1.0
Plot
Click the plot to set the calculator wavelength.
At one wavelength
- Refractive index n
- 1.43029
- Extinction coefficient k
- 0
- Permittivity ε1
- 2.04573
- Permittivity ε2
- 0
- Absorption coefficient α
- 0 cm⁻¹
- Penetration depth δ = λ/(2πk)
- — nm
- Abbe number Vd
- 44.436
- Chromatic dispersion dn/dλ
- -0.0495261 µm⁻¹
- Group index ng
- 1.45939
- Group velocity dispersion
- 95.0494 fs²/mm
- Dispersion parameter D
- -518.545 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
# (C2H6OSi)n (Polydimethylsiloxane, PDMS): Schneider et al. 2009: RTV 615; n 0.35–0.70 µm
mat = ls.fetch_refractiveindex("organic", "polydimethylsiloxane", "Schneider-RTV615", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(mat.range_nm) # (350, 700) nm
eps = mat.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_9a661efd04c2/lightsmith"
mat = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(mat.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (polydimethylsiloxane/schneider-2009-rtv615).
# ... load mat as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=mat)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=400, stop_nm=700, 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_9a661efd04c2/lightsmith?model=drude_lorentz"
mat_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 (C in µm²) (formula 2), λ in µmValid from 0.35 to 0.7 µm.
Coefficients as stored
| Ci | Value |
|---|---|
| C1 | 0.0 |
| C2 | 1.0057 |
| C3 | 0.013217 |
Comments and conditions
References
- doi:10.1016/j.sna.2009.01.026 Process and material properties of polydimethylsiloxane (PDMS) for Optical MEMS, Sensors and Actuators A: Physical (2009)
Cite
Florian Schneider, Jan Draheim, Robert Kamberger and Ulrike Wallrabe. Process and material properties of polydimethylsiloxane (PDMS) for Optical MEMS. Sensors and Actuators A: Physical, 151, 95-99 (2009), doi:10.1016/j.sna.2009.01.026; 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 |
|---|---|
| 0.35 | 1.458538 |
| 0.350609 | 1.458376 |
| 0.351218 | 1.458214 |
| 0.351829 | 1.458054 |
| 0.352441 | 1.457894 |
| 0.353053 | 1.457734 |
| 0.353667 | 1.457576 |
| 0.354282 | 1.457417 |
| 0.354898 | 1.45726 |
| 0.355515 | 1.457103 |
| 0.356133 | 1.456947 |
| 0.356753 | 1.456792 |
| 0.357373 | 1.456637 |
| 0.357994 | 1.456483 |
| 0.358617 | 1.45633 |
| 0.35924 | 1.456177 |
| 0.359865 | 1.456025 |
| 0.360491 | 1.455873 |
| 0.361117 | 1.455722 |
| 0.361745 | 1.455572 |
| 0.362374 | 1.455422 |
| 0.363004 | 1.455273 |
| 0.363635 | 1.455125 |
| 0.364268 | 1.454977 |
| 0.364901 | 1.454829 |
| 0.365536 | 1.454683 |
| 0.366171 | 1.454537 |
| 0.366808 | 1.454391 |
| 0.367446 | 1.454247 |
| 0.368084 | 1.454102 |
| 0.368724 | 1.453959 |
| 0.369366 | 1.453816 |
| 0.370008 | 1.453673 |
| 0.370651 | 1.453531 |
| 0.371296 | 1.45339 |
| 0.371941 | 1.453249 |
| 0.372588 | 1.453109 |
| 0.373236 | 1.45297 |
| 0.373885 | 1.452831 |
| 0.374535 | 1.452692 |
| 0.375186 | 1.452555 |
| 0.375838 | 1.452417 |
| 0.376492 | 1.452281 |
| 0.377146 | 1.452144 |
| 0.377802 | 1.452009 |
| 0.378459 | 1.451874 |
| 0.379117 | 1.451739 |
| 0.379776 | 1.451605 |
| 0.380437 | 1.451472 |
| 0.381098 | 1.451339 |
| 0.381761 | 1.451207 |
| 0.382424 | 1.451075 |
| 0.383089 | 1.450944 |
| 0.383755 | 1.450813 |
| 0.384423 | 1.450683 |
| 0.385091 | 1.450553 |
| 0.385761 | 1.450424 |
| 0.386431 | 1.450296 |
| 0.387103 | 1.450167 |
| 0.387776 | 1.45004 |
| 0.388451 | 1.449913 |
| 0.389126 | 1.449786 |
| 0.389803 | 1.44966 |
| 0.39048 | 1.449535 |
| 0.391159 | 1.44941 |
| 0.391839 | 1.449285 |
| 0.392521 | 1.449161 |
| 0.393203 | 1.449038 |
| 0.393887 | 1.448915 |
| 0.394572 | 1.448792 |
| 0.395258 | 1.44867 |
| 0.395945 | 1.448549 |
| 0.396633 | 1.448428 |
| 0.397323 | 1.448307 |
| 0.398014 | 1.448187 |
| 0.398706 | 1.448068 |
| 0.399399 | 1.447949 |
| 0.400094 | 1.44783 |
| 0.400789 | 1.447712 |
| 0.401486 | 1.447594 |
| 0.402184 | 1.447477 |
| 0.402883 | 1.44736 |
| 0.403584 | 1.447244 |
| 0.404286 | 1.447128 |
| 0.404989 | 1.447013 |
| 0.405693 | 1.446898 |
| 0.406398 | 1.446784 |
| 0.407105 | 1.44667 |
| 0.407813 | 1.446556 |
| 0.408522 | 1.446443 |
| 0.409232 | 1.44633 |
| 0.409944 | 1.446218 |
| 0.410656 | 1.446107 |
| 0.41137 | 1.445995 |
| 0.412086 | 1.445885 |
| 0.412802 | 1.445774 |
| 0.41352 | 1.445664 |
| 0.414239 | 1.445555 |
| 0.414959 | 1.445446 |
| 0.415681 | 1.445337 |
| 0.416403 | 1.445229 |
| 0.417127 | 1.445121 |
| 0.417853 | 1.445014 |
| 0.418579 | 1.444907 |
| 0.419307 | 1.4448 |
| 0.420036 | 1.444694 |
| 0.420766 | 1.444589 |
| 0.421498 | 1.444483 |
| 0.422231 | 1.444379 |
| 0.422965 | 1.444274 |
| 0.4237 | 1.44417 |
| 0.424437 | 1.444067 |
| 0.425175 | 1.443963 |
| 0.425914 | 1.443861 |
| 0.426655 | 1.443758 |
| 0.427397 | 1.443656 |
| 0.42814 | 1.443555 |
| 0.428884 | 1.443454 |
| 0.42963 | 1.443353 |
| 0.430377 | 1.443252 |
| 0.431125 | 1.443153 |
| 0.431875 | 1.443053 |
| 0.432626 | 1.442954 |
| 0.433378 | 1.442855 |
| 0.434131 | 1.442757 |
| 0.434886 | 1.442659 |
| 0.435642 | 1.442561 |
| 0.4364 | 1.442464 |
| 0.437159 | 1.442367 |
| 0.437919 | 1.44227 |
| 0.43868 | 1.442174 |
| 0.439443 | 1.442078 |
| 0.440207 | 1.441983 |
| 0.440972 | 1.441888 |
| 0.441739 | 1.441793 |
| 0.442507 | 1.441699 |
| 0.443277 | 1.441605 |
| 0.444047 | 1.441512 |
| 0.444819 | 1.441419 |
| 0.445593 | 1.441326 |
| 0.446368 | 1.441233 |
| 0.447144 | 1.441141 |
| 0.447921 | 1.44105 |
| 0.4487 | 1.440958 |
| 0.44948 | 1.440867 |
| 0.450262 | 1.440777 |
| 0.451044 | 1.440686 |
| 0.451829 | 1.440596 |
| 0.452614 | 1.440507 |
| 0.453401 | 1.440418 |
| 0.45419 | 1.440329 |
| 0.454979 | 1.44024 |
| 0.45577 | 1.440152 |
| 0.456563 | 1.440064 |
| 0.457357 | 1.439977 |
| 0.458152 | 1.439889 |
| 0.458949 | 1.439803 |
| 0.459747 | 1.439716 |
| 0.460546 | 1.43963 |
| 0.461347 | 1.439544 |
| 0.462149 | 1.439459 |
| 0.462952 | 1.439373 |
| 0.463757 | 1.439288 |
| 0.464564 | 1.439204 |
| 0.465371 | 1.43912 |
| 0.466181 | 1.439036 |
| 0.466991 | 1.438952 |
| 0.467803 | 1.438869 |
| 0.468616 | 1.438786 |
| 0.469431 | 1.438704 |
| 0.470247 | 1.438621 |
| 0.471065 | 1.438539 |
| 0.471884 | 1.438458 |
| 0.472705 | 1.438376 |
| 0.473526 | 1.438295 |
| 0.47435 | 1.438215 |
| 0.475175 | 1.438134 |
| 0.476001 | 1.438054 |
| 0.476828 | 1.437975 |
| 0.477657 | 1.437895 |
| 0.478488 | 1.437816 |
| 0.47932 | 1.437737 |
| 0.480153 | 1.437658 |
| 0.480988 | 1.43758 |
| 0.481825 | 1.437502 |
| 0.482662 | 1.437425 |
| 0.483501 | 1.437347 |
| 0.484342 | 1.43727 |
| 0.485184 | 1.437193 |
| 0.486028 | 1.437117 |
| 0.486873 | 1.437041 |
| 0.48772 | 1.436965 |
| 0.488568 | 1.436889 |
| 0.489417 | 1.436814 |
| 0.490268 | 1.436739 |
| 0.49112 | 1.436664 |
| 0.491974 | 1.43659 |
| 0.49283 | 1.436516 |
| 0.493687 | 1.436442 |
| 0.494545 | 1.436368 |
| 0.495405 | 1.436295 |
| 0.496266 | 1.436222 |
| 0.497129 | 1.436149 |
| 0.497993 | 1.436077 |
| 0.498859 | 1.436004 |
| 0.499727 | 1.435932 |
| 0.500596 | 1.435861 |
| 0.501466 | 1.435789 |
| 0.502338 | 1.435718 |
| 0.503211 | 1.435647 |
| 0.504086 | 1.435577 |
| 0.504963 | 1.435507 |
| 0.505841 | 1.435437 |
| 0.50672 | 1.435367 |
| 0.507601 | 1.435297 |
| 0.508484 | 1.435228 |
| 0.509368 | 1.435159 |
| 0.510254 | 1.43509 |
| 0.511141 | 1.435022 |
| 0.51203 | 1.434954 |
| 0.51292 | 1.434886 |
| 0.513812 | 1.434818 |
| 0.514705 | 1.434751 |
| 0.5156 | 1.434683 |
| 0.516496 | 1.434617 |
| 0.517394 | 1.43455 |
| 0.518294 | 1.434483 |
| 0.519195 | 1.434417 |
| 0.520098 | 1.434351 |
| 0.521002 | 1.434286 |
| 0.521908 | 1.43422 |
| 0.522816 | 1.434155 |
| 0.523725 | 1.43409 |
| 0.524635 | 1.434026 |
| 0.525547 | 1.433961 |
| 0.526461 | 1.433897 |
| 0.527377 | 1.433833 |
| 0.528294 | 1.433769 |
| 0.529212 | 1.433706 |
| 0.530132 | 1.433643 |
| 0.531054 | 1.43358 |
| 0.531977 | 1.433517 |
| 0.532902 | 1.433454 |
| 0.533829 | 1.433392 |
| 0.534757 | 1.43333 |
| 0.535687 | 1.433268 |
| 0.536618 | 1.433207 |
| 0.537551 | 1.433145 |
| 0.538486 | 1.433084 |
| 0.539422 | 1.433023 |
| 0.54036 | 1.432963 |
| 0.5413 | 1.432902 |
| 0.542241 | 1.432842 |
| 0.543184 | 1.432782 |
| 0.544128 | 1.432722 |
| 0.545074 | 1.432663 |
| 0.546022 | 1.432603 |
| 0.546971 | 1.432544 |
| 0.547922 | 1.432485 |
| 0.548875 | 1.432427 |
| 0.549829 | 1.432368 |
| 0.550785 | 1.43231 |
| 0.551743 | 1.432252 |
| 0.552702 | 1.432194 |
| 0.553663 | 1.432137 |
| 0.554626 | 1.432079 |
| 0.55559 | 1.432022 |
| 0.556556 | 1.431965 |
| 0.557524 | 1.431909 |
| 0.558493 | 1.431852 |
| 0.559465 | 1.431796 |
| 0.560437 | 1.43174 |
| 0.561412 | 1.431684 |
| 0.562388 | 1.431628 |
| 0.563366 | 1.431573 |
| 0.564345 | 1.431518 |
| 0.565326 | 1.431463 |
| 0.566309 | 1.431408 |
| 0.567294 | 1.431353 |
| 0.56828 | 1.431299 |
| 0.569269 | 1.431245 |
| 0.570258 | 1.431191 |
| 0.57125 | 1.431137 |
| 0.572243 | 1.431083 |
| 0.573238 | 1.43103 |
| 0.574235 | 1.430977 |
| 0.575233 | 1.430924 |
| 0.576233 | 1.430871 |
| 0.577235 | 1.430818 |
| 0.578239 | 1.430766 |
| 0.579244 | 1.430714 |
| 0.580251 | 1.430662 |
| 0.58126 | 1.43061 |
| 0.582271 | 1.430558 |
| 0.583283 | 1.430507 |
| 0.584298 | 1.430455 |
| 0.585314 | 1.430404 |
| 0.586331 | 1.430353 |
| 0.587351 | 1.430303 |
| 0.588372 | 1.430252 |
| 0.589395 | 1.430202 |
| 0.59042 | 1.430152 |
| 0.591446 | 1.430102 |
| 0.592475 | 1.430052 |
| 0.593505 | 1.430002 |
| 0.594537 | 1.429953 |
| 0.59557 | 1.429904 |
| 0.596606 | 1.429855 |
| 0.597643 | 1.429806 |
| 0.598682 | 1.429757 |
| 0.599723 | 1.429709 |
| 0.600766 | 1.42966 |
| 0.601811 | 1.429612 |
| 0.602857 | 1.429564 |
| 0.603905 | 1.429517 |
| 0.604955 | 1.429469 |
| 0.606007 | 1.429422 |
| 0.607061 | 1.429374 |
| 0.608116 | 1.429327 |
| 0.609174 | 1.42928 |
| 0.610233 | 1.429234 |
| 0.611294 | 1.429187 |
| 0.612357 | 1.429141 |
| 0.613421 | 1.429094 |
| 0.614488 | 1.429048 |
| 0.615556 | 1.429003 |
| 0.616627 | 1.428957 |
| 0.617699 | 1.428911 |
| 0.618773 | 1.428866 |
| 0.619849 | 1.428821 |
| 0.620927 | 1.428776 |
| 0.622006 | 1.428731 |
| 0.623088 | 1.428686 |
| 0.624171 | 1.428642 |
| 0.625256 | 1.428597 |
| 0.626343 | 1.428553 |
| 0.627432 | 1.428509 |
| 0.628523 | 1.428465 |
| 0.629616 | 1.428421 |
| 0.630711 | 1.428378 |
| 0.631808 | 1.428334 |
| 0.632906 | 1.428291 |
| 0.634007 | 1.428248 |
| 0.635109 | 1.428205 |
| 0.636213 | 1.428162 |
| 0.637319 | 1.42812 |
| 0.638428 | 1.428077 |
| 0.639538 | 1.428035 |
| 0.64065 | 1.427993 |
| 0.641763 | 1.427951 |
| 0.642879 | 1.427909 |
| 0.643997 | 1.427867 |
| 0.645117 | 1.427826 |
| 0.646238 | 1.427785 |
| 0.647362 | 1.427743 |
| 0.648488 | 1.427702 |
| 0.649615 | 1.427661 |
| 0.650745 | 1.427621 |
| 0.651876 | 1.42758 |
| 0.65301 | 1.427539 |
| 0.654145 | 1.427499 |
| 0.655282 | 1.427459 |
| 0.656422 | 1.427419 |
| 0.657563 | 1.427379 |
| 0.658706 | 1.427339 |
| 0.659852 | 1.4273 |
| 0.660999 | 1.42726 |
| 0.662148 | 1.427221 |
| 0.6633 | 1.427182 |
| 0.664453 | 1.427143 |
| 0.665608 | 1.427104 |
| 0.666766 | 1.427065 |
| 0.667925 | 1.427027 |
| 0.669086 | 1.426988 |
| 0.67025 | 1.42695 |
| 0.671415 | 1.426912 |
| 0.672582 | 1.426874 |
| 0.673752 | 1.426836 |
| 0.674923 | 1.426798 |
| 0.676097 | 1.42676 |
| 0.677272 | 1.426723 |
| 0.67845 | 1.426686 |
| 0.679629 | 1.426648 |
| 0.680811 | 1.426611 |
| 0.681995 | 1.426574 |
| 0.683181 | 1.426538 |
| 0.684369 | 1.426501 |
| 0.685558 | 1.426464 |
| 0.68675 | 1.426428 |
| 0.687945 | 1.426392 |
| 0.689141 | 1.426356 |
| 0.690339 | 1.42632 |
| 0.691539 | 1.426284 |
| 0.692742 | 1.426248 |
| 0.693946 | 1.426212 |
| 0.695153 | 1.426177 |
| 0.696361 | 1.426141 |
| 0.697572 | 1.426106 |
| 0.698785 | 1.426071 |
| 0.7 | 1.426036 |
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
- —
RTV 615 (Bayer Silicones, now Momentive)