Simulation Study of Dielectric Modulated Dual Material Gate TFET Based Biosensor by Considering Ambipolar Conduction

Reddy, N. Nagendra; Panda, Deepak Kumar

doi:10.1007/s12633-020-00784-9

Cited by 20 publications

(7 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The relation between the dielectric constant (K) and the ambipolar current allows the detection of the targeted biomolecules by immobilizing in the nanogap created by the overlapped gate on the drain. The dielectric modulation technique made it an advantage for the biosensor design [11][12][13][14][15]. Here in this work, we demonstrated the advantage of the overlapped gate-on-drain in terms of the label-free biosensor by considering the nanowire gate all around-TFET (GAA-TFET).…”

Section: Introductionmentioning

confidence: 98%

Nanowire gate all around-TFET-based biosensor by considering ambipolar transport

Reddy¹,

Panda²

2021

Appl. Phys. A

Self Cite

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 98%

Nanowire gate all around-TFET-based biosensor by considering ambipolar transport

Reddy¹,

Panda²

2021

Appl. Phys. A

Self Cite

View full text Add to dashboard Cite

“…The band–band tunneling conduction mechanism of TFET can break through the limitation of thermionic emission; therefore, it can reach a sub-threshold swing below 60 mV/dec [ 14 , 15 , 16 , 17 ]. Hence, the study of dielectrically modulated TFET biosensors has aroused the interest of many researchers [ 18 , 19 , 20 , 21 ]. Rakhi studied the effect of partial hybridization in a dual-gate TFET biosensor on the static electricity and current of the device.…”

Section: Introductionmentioning

confidence: 99%

Study on the Simulation of Biosensors Based on Stacked Source Trench Gate TFET

Chen

Liu

et al. 2023

Nanomaterials

View full text Add to dashboard Cite

In order to detect biomolecules, a biosensor based on a dielectric-modulated stacked source trench gate tunnel field effect transistor (DM-SSTGTFET) is proposed. The stacked source structure can simultaneously make the on-state current higher and the off-state current lower. The trench gate structure will increase the tunneling area and tunneling probability. Technology computer-aided design (TCAD) is used for the sensitivity study of the proposed structured biosensor. The results show that the current sensitivity of the DM-SSTGTFET biosensor can be as high as 108, the threshold voltage sensitivity can reach 0.46 V and the subthreshold swing sensitivity can reach 0.8. As a result of its high sensitivity and low power consumption, the proposed biosensor has highly promising prospects.

show abstract

“…Separate Cosine Transfigure (DCT) and Multi-Scale Transform are often utilised transforms for image emulsion (MST). Deep literacy (DL) has recently flourished in a number of image processing and computer vision operations [7][8][9][10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Empirical Wavelet Transform Method for Enhancement of Medical Image Fusion

Nagendra¹,

Bitra

Srinivasa

2023

EAE

View full text Add to dashboard Cite

The process of creating an image's emulsion is selecting the crucial details from numerous images and combining them into smaller images, often one bone. In the areas of satellite imaging, remote seeing, target shadowing, medical imaging, and many other areas, image emulsion is quite useful. This design tries to illustrate how Empirical Wavelet transfigures work when used with the Simple Average Emulsion Rule to emulsify multi-focus images. The suggested approach has been tested using common datasets for merging images with various focal points. Empirical Wavelet Transform is primarily a method that uses an adaptive approach to produce a Multi-Resolution Analysis of the signal. The effectiveness of the suggested approach is calculated in a variety of ways. Visual perception and the evaluation of common quality metrics, such as Root Mean Squared Error, Entropy, and Peak Signal to Noise ratio, are used to compare the performance of the proposed system. The proposed fashion based on the Empirical Wavelet Transform (EWT) outperforms the existing methods, according to the study of the experimental results. According to the suggested criteria, the fused image's entropy should be higher than the component images' because the emulsion's efficiency decreases as entropy increases. This technique takes MRI and CT scans into account.

show abstract

Simulation Study of Dielectric Modulated Dual Material Gate TFET Based Biosensor by Considering Ambipolar Conduction

Cited by 20 publications

References 31 publications

Nanowire gate all around-TFET-based biosensor by considering ambipolar transport

Nanowire gate all around-TFET-based biosensor by considering ambipolar transport

Study on the Simulation of Biosensors Based on Stacked Source Trench Gate TFET

Empirical Wavelet Transform Method for Enhancement of Medical Image Fusion

Contact Info

Product

Resources

About