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20112024
most citedTerahertz sensing of 7nm dielectric film with bound states in the continuum metasurfaces

274 citations · 587 across the 10 of their papers we have counts for

collaborators

10 papers

physics.optics2024★ 2 cited

Ultrathin BIC metasurfaces based on ultralow-loss Sb2Se3 phase-change material

Zhaoyang Xie, Chi Li, Krishna Murali +6

Phase-change materials (PCMs) are increasingly recognised as promising platforms for tunable photonic devices due to their ability to modulate optical properties through solid-stat…

physics.optics2023

Reconfigurable Image Processing Metasurfaces with Phase-Change Materials

Michele Cotrufo, Shaban B. Sulejman, Lukas Wesemann +4

Optical metasurfaces have been enabling reduced footprint and power consumption, as well as faster speeds, in the context of analog computing and image processing. While various im…

physics.optics2019★ 40 cited

Broadband Single-Mode Hybrid Photonic Crystal Waveguides for Terahertz Integration on a Chip

Haisu Li, Mei Xian Low, Rajour Ako +5

A novel terahertz hybrid waveguide chip consisting of silicon photonic crystals sandwiched in parallel gold plates is developed. Both simulation and experimental results demonstrat…

physics.optics2019★ 274 cited

Terahertz sensing of 7nm dielectric film with bound states in the continuum metasurfaces

Yogesh Kumar Srivastava, Rajour Tanyi Ako, Manoj Gupta +3

Fingerprint spectral response of several materials with terahertz electromagnetic radiation indicates that terahertz technology is an effective tool for sensing applications. Howev…

cond-mat.mtrl-sci2018

Nanoscale compositional evolution in complex oxide based resistive memories

Taimur Ahmed, Sumeet Walia, Edwin L. H. Mayes +6

Functional oxides based resistive memories are recognized as potential candidate for the next-generation high density data storage and neuromorphic applications. Fundamental unders…

cond-mat.dis-nn2018

High order synaptic learning in neuro-mimicking resistive memories

Taimur Ahmed, Sumeet Walia, Edwin Mayes +5

Memristors have demonstrated immense potential as building blocks in future adaptive neuromorphic architectures. Recently, there has been focus on emulating specific synaptic funct…