3D PHONONIC BASED PH SENSING AND ITS EXPEDITED CLASSIFICATION VIA DEEP NEURAL NETWORKS

초록

The existence of a band gap and its change for pH sensing in 3D phononic crystals is demonstrated in this work utilizing theoretical and experimental evidence. The non-toxic hydrogel-SiO2 composite-based phononic crystals is sensitive to pH variation, as revealed by the transition in the dispersion curve measured in the [111] direction. A transition in a continuous pattern of dips and notches shows that the bandgap in transmission spectra shifts towards lower frequencies as the pH value increases. For classification purposes, the neural network is modeled using experimental data. With 100 percent accuracy, we were able to classify pH values between 4 to 7 in 31 labels. © 2022 MicroTAS 2022 - 26th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

키워드