Items where Author is "Verma, S."
Article
Pathak, A. K., Verma, S., Sakda, N. , Viphavakit, C., Chitaree, R. & Rahman, B. M. A. 
ORCID: 0000-0001-6384-0961 (2023).
Recent Advances in Optical Hydrogen Sensor including Use of Metal and Metal Alloys: A Review.
Photonics, 10(2),
article number 122.
doi: 10.3390/photonics10020122
Verma, S. & Rahman, B. M. ORCID: 0000-0001-6384-0961 (2023).
Computational Investigation of Advanced Refractive Index Sensor Using 3-Dimensional Metamaterial Based Nanoantenna Array.
Sensors, 23(3),
article number 1290.
doi: 10.3390/s23031290
Verma, S., Chugh, S., Ghosh, S. & Rahman, B. M. ORCID: 0000-0001-6384-0961 (2023).
A comprehensive deep learning method for empirical spectral prediction and its quantitative validation of nano-structured dimers.
Scientific Reports, 13(1),
article number 1129.
doi: 10.1038/s41598-023-28076-3
Rahman, B. M. A. ORCID: 0000-0001-6384-0961, Viphavakit, C., Chitaree, R. , Ghosh, S., Pathak, A. K., Verma, S. & Sakda, N. (2022).
Optical Fiber, Nanomaterial, and THz-Metasurface-Mediated Nano-Biosensors: A Review.
Biosensors, 12(1),
article number 42.
doi: 10.3390/bios12010042
Verma, S., Chugh, S., Ghosh, S. & Rahman, B. M. ORCID: 0000-0001-6384-0961 (2022).
Artificial Neural Network Modelling for Optimizing the Optical Parameters of Plasmonic Paired Nanostructures.
Nanomaterials (Basel), 12(1),
article number 170.
doi: 10.3390/nano12010170
Verma, S., Ghosh, S. & Rahman, B. M. A. ORCID: 0000-0001-6384-0961 (2021).
All-Opto Plasmonic-Controlled Bulk and Surface Sensitivity Analysis of a Paired Nano-Structured Antenna with a Label-Free Detection Approach.
Sensors, 21(18),
article number 6166.
doi: 10.3390/s21186166
Conference or Workshop Item
Verma, S. & Rahman, B. M. ORCID: 0000-0001-6384-0961 (2022).
Advanced refractive index sensor using 3-dimensional metamaterial based nanoantenna array.
In:
Journal of Physics: Conference Series.
Fifth International Conference on Applications of Optics and Photonics (AOP2022), 17-22 Jul 2022, Guimarães, Portugal.
doi: 10.1088/1742-6596/2407/1/012054
Thesis
Verma, S. (2023). Evaluation of Photonic Characteristics of Plasmonic Integrated Metallic Nanoparticles with the help of Artificial Neural Network Parameterisation. (Unpublished Doctoral thesis, City, University of London)