2015Unpublished venueRequires access

Sandwiched-gate inverter: Novel device structure for future logic gates

Myunghwan Ryu, Franklin Bien, Young‐Min Kim

Open publisher page 0 citations

Abstract

In this paper, we propose a novel sandwiched-gate inverter by using of an NMOS GAA together with a donut-type PMOS. The DC operation and the transient performance of the proposed inverter were investigated with 3D TCAD simulations. The proposed inverter exhibits a correct inverter operation with a high noise margin and speed.

About this research paper

What this paper is about

In this paper, we propose a novel sandwiched-gate inverter by using of an NMOS GAA together with a donut-type PMOS. The DC operation and the transient performance of the proposed inverter were investigated with 3D TCAD simulations. The proposed inverter exhibits a correct inverter operation with a high noise margin and speed.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In this paper, we propose a novel sandwiched-gate inverter by using of an NMOS GAA together with a donut-type PMOS. The DC operation and the transient performance of the proposed inverter were investigated with 3D TCAD simulations. The proposed inverter exhibits a correct inverter operation with a high noise margin and speed.

Key concepts: Inverter, NMOS logic, Noise margin, PMOS logic, Logic gate, Electronic engineering, Transient (computer programming), Noise (video)

Related papers

Back to paper searchBrowse research topicsOriginal source
Sandwiched-gate inverter: Novel device structure for future logic gates — Research Paper | ScholarLens