ml_patch#

Layer3D.ml_patch(frequency, patch_width, patch_position_x=0, patch_position_y=0, patch_name=None, axis='X')[source]#

Create a new parametric patch using machine learning algorithm rather than analytic formulas.

Parameters:

frequencyfloat, None: Frequency value for patch calculation in Hz.
patch_widthfloat: Patch width.
patch_position_xfloat, optional: Patch start x position.
patch_position_yfloat, optional: Patch start y position.
patch_namestr, optional: Patch name.
axisstr, optional: Line orientation axis.

Returns:

pyaedt.modeler.stackup_3d.MachineLearningPatch

Examples

>>> from pyaedt import Hfss
>>> from pyaedt.modeler.stackup_3d import Stackup3D
>>> hfss = Hfss()
>>> my_stackup = Stackup3D(hfss, 2.5e9)
>>> gnd = my_stackup.add_ground_layer("gnd")
>>> my_stackup.add_dielectric_layer("diel1", thickness=1.5, material="Duroid (tm)")
>>> top = my_stackup.add_signal_layer("top")
>>> my_patch = top.ml_patch(frequency=None, patch_width=51, patch_name="MLPatch")
>>> my_stackup.resize_around_element(my_patch)