Performance Analysis of DAST Material-Assisted Photonic-Crystal-Based Electrical Tunable Optical Filter

Physical unclonable function using photonic spin Hall effect

This study presents a novel method leveraging surface wave-assisted photonic spin Hall effect (PSHE) to construct physical unclonable functions (PUFs). PUFs exploit inherent physical variations to generate unique Challenge-Response pairs, which are critical for hardware security and arise from manufacturing discrepancies, device characteristics, or timing deviations. We explore PSHE generation-based PUF design, expanding existing design possibilities. With recent applications in precise sensing and computing, PSHE offers promising performance metrics for our proposed PUFs, including an inter-Hamming distance of 47.50% , an average proportion of unique responses of 62.5% , and a Pearson correlation coefficient of - 0.198. The PUF token demonstrates robustness to simulated noise. Additionally, we evaluate security using a machine learning-based attack model, employing a multi-layer perceptron (MLP) regression model with a randomized search method. The average accuracy of successful attack prediction is 9.70% for the selected dataset. Our novel PUF token exhibits high non-linearity due to the PSHE effect, resilience to MLP-based attacks, and sensitivity to process variation.

Theoretical analysis of graded-index topological resonator for improved sensing performance

In this manuscript, what we believe to be a novel hyperbolic-graded topological nano-photonic resonator structure is proposed to excite robust topological edge states. The graded refractive index is realized by considering a porous silicon material having a deliberately modulated local refractive index. The introduction of grading effectively modifies its dispersion characteristics leading to distinctive topological properties. This results in excitation of a topologically protected edge state (TES) having significantly higher interface electric field intensity at an operational wavelength of 1521 nm. Additionally, the impact of interface layer thicknesses on the excitation of these TES is thoroughly investigated. Finally, the structure's capability to be used as a refractive index sensor is also demonstrated. The analytical results demonstrate an average sensitivity of 852.14 nm/RIU, coupled with a quality factor of 4019.23 and a figure of merit (FOM) of 1277.13 RIU-1. With its remarkable performance metrics, the proposed device holds significant promise for accurately detecting and sensing biochemical samples with very high efficiency.