Thermal¶
GDSFactory has an FEM femwell plugin that you can use for thermal simulations. You can simulate directly the component layout and include important effects such as metal dummy fill.
from collections import OrderedDict
from functools import partial
import gdsfactory as gf
import matplotlib.pyplot as plt
import numpy as np
from femwell.maxwell.waveguide import compute_modes
from femwell.mesh import mesh_from_OrderedDict
from femwell.thermal import solve_thermal
from gdsfactory.add_padding import add_padding, add_padding_container
from gdsfactory.generic_tech import get_generic_pdk
from gdsfactory.generic_tech.layer_map import LAYER
from gplugins.common.utils.geometry import region_to_shapely_polygons
from shapely.geometry import LineString, Polygon
from skfem import Basis, ElementTriP0
from skfem.io import from_meshio
from tqdm import tqdm
/tmp/ipykernel_6700/989273978.py:11: DeprecationWarning: The 'gdsfactory.generic_tech' module is deprecated and will be removed in a future version. Please update your imports to use 'gdsfactory.gpdk' instead:
from gdsfactory.gpdk import LAYER, LAYER_STACK, get_generic_pdk
Or for submodules:
from gdsfactory.gpdk.layer_map import LAYER
from gdsfactory.gpdk.layer_stack import LAYER_STACK
from gdsfactory.generic_tech import get_generic_pdk
gf.config.rich_output()
PDK = get_generic_pdk()
PDK.activate()
LAYER_STACK = PDK.layer_stack
LAYER_STACK.layers["heater"].thickness = 0.13
LAYER_STACK.layers["heater"].zmin = 2.2
heater = gf.components.straight_heater_metal(length=50)
heater.plot()

w_sim = 16
h_substrate = 0.5
layer_names = ["core", "heater", "clad", "box", "substrate"]
heater_padded = add_padding_container(
component=heater,
function=partial(add_padding, layers=(LAYER.WAFER,), default=w_sim / 2),
)
x_center = (heater.dxmin + heater.dxmax) / 2
xsection_line = LineString([(x_center, -w_sim / 2), (x_center, w_sim / 2)])
substrate_bottom = LAYER_STACK.layers["box"].zmin - h_substrate
polygons = OrderedDict(
bottom=LineString([(-w_sim / 2, substrate_bottom), (w_sim / 2, substrate_bottom)])
)
for layer_name in layer_names:
layer_level = LAYER_STACK.layers[layer_name]
region = layer_level.layer.get_shapes(heater_padded)
if region.is_empty():
continue
shapely_polys = region_to_shapely_polygons(region)
if not shapely_polys:
continue
zmin = layer_level.zmin
thickness = layer_level.thickness
if layer_name == "substrate":
zmin = substrate_bottom
thickness = h_substrate
zmax = zmin + thickness
for poly in (
shapely_polys.geoms if hasattr(shapely_polys, "geoms") else [shapely_polys]
):
intersection = poly.intersection(xsection_line)
if intersection.is_empty:
continue
for geom in (
intersection.geoms if hasattr(intersection, "geoms") else [intersection]
):
y_min, y_max = geom.bounds[1], geom.bounds[3]
rect = Polygon([(y_min, zmin), (y_max, zmin), (y_max, zmax), (y_min, zmax)])
if layer_name in polygons:
polygons[layer_name] = polygons[layer_name].union(rect)
else:
polygons[layer_name] = rect
resolutions = dict(
core={"resolution": 0.04, "distance": 1},
clad={"resolution": 0.6, "distance": 1},
box={"resolution": 0.6, "distance": 1},
heater={"resolution": 0.1, "distance": 1},
)
mesh = from_meshio(
mesh_from_OrderedDict(polygons, resolutions, default_resolution_max=0.6)
)
mesh.draw().show()

And then we solve it!
currents = np.linspace(0.0, 7.4e-3, 10)
current_densities = currents / polygons["heater"].area
neffs = []
for current_density in tqdm(current_densities):
basis0 = Basis(mesh, ElementTriP0(), intorder=4)
thermal_conductivity_p0 = basis0.zeros()
for domain, value in {
"core": 90,
"box": 1.38,
"clad": 1.38,
"heater": 28,
"substrate": 148,
}.items():
thermal_conductivity_p0[basis0.get_dofs(elements=domain)] = value
thermal_conductivity_p0 *= 1e-12 # 1e-12 -> conversion from 1/m^2 -> 1/um^2
basis, temperature = solve_thermal(
basis0,
thermal_conductivity_p0,
specific_conductivity={"heater": 2.3e6},
current_densities={"heater": current_density},
fixed_boundaries={"bottom": 0},
)
if current_density == current_densities[-1]:
basis.plot(temperature, shading="gouraud", colorbar=True)
plt.show()
temperature0 = basis0.project(basis.interpolate(temperature))
epsilon = basis0.zeros() + (1.444 + 1.00e-5 * temperature0) ** 2
epsilon[basis0.get_dofs(elements="core")] = (
3.4777 + 1.86e-4 * temperature0[basis0.get_dofs(elements="core")]
) ** 2
modes = compute_modes(basis0, epsilon, wavelength=1.55, num_modes=1, solver="scipy")
if current_density == current_densities[-1]:
modes[0].show(modes[0].E.real)
neffs.append(np.real(modes[0].n_eff))
length = 320 # um
print(f"Phase shift: {2 * np.pi / 1.55 * (neffs[-1] - neffs[0]) * length}")
plt.xlabel("Current / mA")
plt.ylabel("Effective refractive index $n_{eff}$")
plt.plot(currents * 1e3, neffs)
plt.show()
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modes[0].show(modes[0].E.real)

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Phase shift: 4.148120289005939
