The phrase "adjusting the layers of" is correct and usable in written English.
It can be used in contexts where you are discussing modifications or changes to different levels or components of a system, structure, or concept.
Example: "The artist spent hours adjusting the layers of paint to achieve the desired texture and depth in her artwork."
Alternatives: "modifying the layers of" or "tweaking the layers of".
These structures could be applied to an acoustical 0 or π phase modulator by adjusting the number of layers of PnCs (even or odd).
From the simulation results, it has been shown that the full width at half maximum (FWHM) can be optimized and the quality factor (Q value) can been improved by adjusting the number of layers in the photonic crystal structure.
Using the step shaped structure, designing multiple-step-type p-type In0.67Ga0.33As0.7P0.3 contact layer and adjusting the thickness of the absorption layer, a design with good flat-top performance is demonstrated such that the quantum efficiency is 51.161% in the flat-top passband, 0.5 and 3 dB bandwidths are 0.26 and 0.4 nm, respectively.
Based on the investigation of carriers' distribution, device structure was further optimized by adjusting the thickness of deposited layers.
It is shown that the maximum power output density only depends on the maximum allowable stress of the beam and the working frequency of the device, and these two factors can be obtained by adjusting the geometry of piezoelectric layers.
To optimize the static noise margin in the 3D NAND gates, we matched the ID of the dual-gate n-type transistors in dual-gate mode to that of the dual-gate p-type transistor in bottom-gate or top-gate mode by adjusting the thickness of dielectric layers as well as the channel lengths.
By this technique, the contact angle can be controlled by adjusting the number of multielectrolyte layers.
Moreover, since these approaches are statics (i.e., non-adaptable), they have difficulty quickly and accurately recognizing parameters [58], for instance, neural networks have subjective methods for adjusting the topology (number of layers and neurons) and require a fixed number of input parameters.
