A machine learning-based biomedical sensor with help of 2D photonic crystal structure

A noteworthy application of photonic crystal is proposed in this research paper pertaining to the biomedical device through which one can investigate the amount of alcohol in their aqueous solution using sodium monochromatic laser. The principle of investigation relies on the transportation of electric filed in the photonic crystal and long and short term memory (LSTM) algorithms. The outcomes of the photonic crystal in terms of power with respect to the alcohol concentration are found nonlinear. So, it is not easy to fetch the relation between power and concentration through an ordinary mathematical model, however, a suitable machine learning model (LSTM) manipulates with the results of concentration and power. Further, an exact relation is established between them which infer an accurate measurement of alcohol concentration.