3 papers
physics.optics2026
Machine Learning-Assisted Analysis and Inverse Design of Prism-Based Surface Plasmon Resonance Sensors
R. Runthala, S. Murai, P. Arora
In this work, we demonstrate a data-driven machine learning (ML) framework for the efficient design and optimization of Kretschmann-configuration-based surface plasmon resonance (S…
physics.optics2025
Simulation Driven Design of a Multilayer Plasmonic Sensor Using Cu Ni and BaTiO3 for Waterborne Pathogen Detection
R. Runthala, V. K. Venkatesh, D. Gupta +1
We present a simulation guided design for a multilayer surface plasmon resonance (SPR) based biosensor capable of detecting refractive index changes in a target induced by analytes…
physics.optics2025
Ultrasensitive surface plasmon resonance-based biosensor for efficient detection of SARS-CoV-2 Virus in the near-infrared region
R. Runthala, N. Grover, P. Arora
This work presents a high-performance, multilayered surface plasmon resonance (SPR)-based sensor designed to enhance performance parameters in the near-infrared (NIR) region throug…