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Meep Benchmarking Simulation of Organic Light Emitting Diode (OLED)
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import meep as mp | |
from meep.materials import Al as ALU | |
import numpy as np | |
lambda_min = 0.4 # minimum source wavelength | |
lambda_max = 0.8 # maximum source wavelength | |
fmin = 1/lambda_max # minimum source frequency | |
fmax = 1/lambda_min # maximum source frequency | |
fcen = 0.5*(fmin+fmax) # source frequency center | |
df = fmax-fmin # source frequency width | |
resolution = 55 | |
nfreq = 25 | |
tABS = 0.5 | |
tPML = 0.5 | |
tGLS = 0.5 | |
tITO = 0.5 | |
tORG = 0.5 | |
tALU = 0.2 | |
L = 1.0 # length of OLED | |
# length of computational cell along Z | |
sz = tPML+tGLS+tITO+tORG+tALU | |
# length of non-absorbing region of computational cell in X and Y | |
sxy = L+2*tABS | |
cell_size = mp.Vector3(sxy,sxy,sz) | |
boundary_layers = [mp.Absorber(tABS,direction=mp.X), | |
mp.Absorber(tABS,direction=mp.Y), | |
mp.PML(tPML,direction=mp.Z,side=mp.High)] | |
ORG = mp.Medium(index=1.75) | |
geometry = [mp.Block(material=mp.Medium(index=1.5), | |
size=mp.Vector3(mp.inf,mp.inf,tPML+tGLS), | |
center=mp.Vector3(z=0.5*sz-0.5*(tPML+tGLS))), | |
mp.Block(material=mp.Medium(index=1.2), | |
size=mp.Vector3(mp.inf,mp.inf,tITO), | |
center=mp.Vector3(z=0.5*sz-tPML-tGLS-0.5*tITO)), | |
mp.Block(material=ORG, | |
size=mp.Vector3(mp.inf,mp.inf,tORG), | |
center=mp.Vector3(z=0.5*sz-tPML-tGLS-tITO-0.5*tORG)), | |
mp.Block(material=ALU, | |
size=mp.Vector3(mp.inf,mp.inf,tALU), | |
center=mp.Vector3(z=0.5*sz-tPML-tGLS-tITO-tORG-0.5*tALU))] | |
sources = [mp.Source(mp.ContinuousSource(fcen), | |
component=mp.Ez, | |
center=mp.Vector3(z=0.5*sz-tPML-tGLS-tITO-0.5*tORG))] | |
sim = mp.Simulation(resolution=resolution, | |
cell_size=cell_size, | |
boundary_layers=boundary_layers, | |
geometry=geometry, | |
sources=sources, | |
eps_averaging=False) | |
# surround source with a six-sided box of flux planes | |
srcbox_width = 0.05 | |
srcbox_top = sim.add_flux(fcen, df, nfreq, mp.FluxRegion(center=mp.Vector3(z=0.5*sz-tPML-tGLS), size=mp.Vector3(srcbox_width,srcbox_width,0), direction=mp.Z, weight=+1)) | |
srcbox_bot = sim.add_flux(fcen, df, nfreq, mp.FluxRegion(center=mp.Vector3(z=0.5*sz-tPML-tGLS-tITO-0.8*tORG), size=mp.Vector3(srcbox_width,srcbox_width,0), direction=mp.Z, weight=-1)) | |
srcbox_xp = sim.add_flux(fcen, df, nfreq, mp.FluxRegion(center=mp.Vector3(0.5*srcbox_width,0,0.5*sz-tPML-tGLS-0.5*(tITO+0.8*tORG)), size=mp.Vector3(0,srcbox_width,tITO+0.8*tORG), direction=mp.X, weight=+1)) | |
srcbox_xm = sim.add_flux(fcen, df, nfreq, mp.FluxRegion(center=mp.Vector3(-0.5*srcbox_width,0,0.5*sz-tPML-tGLS-0.5*(tITO+0.8*tORG)), size=mp.Vector3(0,srcbox_width,tITO+0.8*tORG), direction=mp.X, weight=-1)) | |
srcbox_yp = sim.add_flux(fcen, df, nfreq, mp.FluxRegion(center=mp.Vector3(0,0.5*srcbox_width,0.5*sz-tPML-tGLS-0.5*(tITO+0.8*tORG)), size=mp.Vector3(srcbox_width,0,tITO+0.8*tORG), direction=mp.Y, weight=+1)) | |
srcbox_ym = sim.add_flux(fcen, df, nfreq, mp.FluxRegion(center=mp.Vector3(0,-0.5*srcbox_width,0.5*sz-tPML-tGLS-0.5*(tITO+0.8*tORG)), size=mp.Vector3(srcbox_width,0,tITO+0.8*tORG), direction=mp.Y, weight=-1)) | |
# padding for flux box to fully capture waveguide mode | |
fluxbox_dpad = 0.05 | |
glass_flux = sim.add_flux(fcen, df, nfreq, mp.FluxRegion(center=mp.Vector3(z=0.5*sz-tPML-(tGLS-fluxbox_dpad)), size = mp.Vector3(L,L,0), direction=mp.Z, weight=+1)) | |
wvgbox_xp = sim.add_flux(fcen, df, nfreq, mp.FluxRegion(size=mp.Vector3(0,L,fluxbox_dpad+tITO+tORG+fluxbox_dpad),direction=mp.X, center=mp.Vector3(0.5*L,0,0.5*sz-tPML-tGLS-0.5*(tITO+tORG)), weight=+1)) | |
wvgbox_xm = sim.add_flux(fcen, df, nfreq, mp.FluxRegion(size=mp.Vector3(0,L,fluxbox_dpad+tITO+tORG+fluxbox_dpad),direction=mp.X, center=mp.Vector3(-0.5*L,0,0.5*sz-tPML-tGLS-0.5*(tITO+tORG)), weight=-1)) | |
wvgbox_yp = sim.add_flux(fcen, df, nfreq, mp.FluxRegion(size=mp.Vector3(L,0,fluxbox_dpad+tITO+tORG+fluxbox_dpad),direction=mp.Y, center=mp.Vector3(0,0.5*L,0.5*sz-tPML-tGLS-0.5*(tITO+tORG)), weight=+1)) | |
wvgbox_ym = sim.add_flux(fcen, df, nfreq, mp.FluxRegion(size=mp.Vector3(L,0,fluxbox_dpad+tITO+tORG+fluxbox_dpad),direction=mp.Y, center=mp.Vector3(0,-0.5*L,0.5*sz-tPML-tGLS-0.5*(tITO+tORG)), weight=-1)) | |
mp.verbosity(2) | |
sim.run(until=2.0) | |
sim.fields.reset_timers() | |
for _ in range(5): | |
sim.fields.step() | |
sim.output_times('oled_timings.csv') | |
print("field:, {}".format(np.real(sim.get_field_point(mp.Ez, mp.Vector3(0.1235,-0.3165,0.7298))))) | |
flux_srcbox_top = np.asarray(mp.get_fluxes(srcbox_top)) | |
flux_srcbox_bot = np.asarray(mp.get_fluxes(srcbox_bot)) | |
flux_srcbox_xp = np.asarray(mp.get_fluxes(srcbox_xp)) | |
flux_srcbox_xm = np.asarray(mp.get_fluxes(srcbox_xm)) | |
flux_srcbox_yp = np.asarray(mp.get_fluxes(srcbox_yp)) | |
flux_srcbox_ym = np.asarray(mp.get_fluxes(srcbox_ym)) | |
flux_wvgbox_xp = np.asarray(mp.get_fluxes(wvgbox_xp)) | |
flux_wvgbox_xm = np.asarray(mp.get_fluxes(wvgbox_xm)) | |
flux_wvgbox_yp = np.asarray(mp.get_fluxes(wvgbox_yp)) | |
flux_wvgbox_ym = np.asarray(mp.get_fluxes(wvgbox_ym)) | |
flux_glass = np.asarray(mp.get_fluxes(glass_flux)) | |
flux_total = flux_srcbox_top+flux_srcbox_bot+flux_srcbox_xp+flux_srcbox_xm+flux_srcbox_yp+flux_srcbox_ym | |
flux_waveguide = flux_wvgbox_xp+flux_wvgbox_xm+flux_wvgbox_yp+flux_wvgbox_ym | |
print("flux_glass:, {}".format(flux_glass)) | |
print("flux_waveguide:, {}".format(flux_waveguide)) | |
print("flux_total:, {}".format(flux_total)) | |
print("sum(flux_glass):, {}".format(np.sum(flux_glass))) | |
print("sum(flux_waveguide):, {}".format(np.sum(flux_waveguide))) | |
print("sum(flux_total):, {}".format(np.sum(flux_total))) |
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time spent on DFT field updates:
0.0122615 s
.time spent on DFT field updates:
0.151868 s
.