Modeling trap dynamics in oxide-engineered heterostructure TFETs for breast cancer detection
Rittik Ghosh, Priyanka Saha
TL;DR
This study models how trap dynamics affect the reliability of biosensors used for detecting breast cancer.
Contribution
A novel detection inaccuracy metric is introduced to quantify sensitivity loss due to trap effects in biosensors.
Findings
Interface traps cause significant hysteresis and signal degradation in biosensors.
The InAs-Si and Si-SiO2 interfaces show more severe trap effects.
Up to 97% detection inaccuracy is observed in damaged devices under healthy biomarker conditions.
Abstract
This work presents a reliability-focused modeling study of trap-induced hysteresis in a heterostructure oxide-engineered double-gated tunnel field-effect transistor based biosensor for breast cancer detection. Our study reveals how interface traps impact threshold voltage shifts, current sensitivity, and overall sensing stability under varying sweep rates and temperatures. We explore the role of trap location by comparing two critical interfaces, InAs-Si at the source-channel tunneling junction and Si-SiO2 at the channel-oxide interface, revealing that these traps induce more severe hysteresis and signal degradation. A novel detection inaccuracy metric is introduced to quantify sensitivity loss due to reliability degradation, showing up to 97% inaccuracy for healthy biomarker conditions in damaged devices. This study highlights the importance of reliability-aware modeling of trap…
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Taxonomy
TopicsAdvancements in Semiconductor Devices and Circuit Design · Nanowire Synthesis and Applications · Ferroelectric and Negative Capacitance Devices