Comparative analysis of junctionless and inversion-mode nanosheet FETs for self-heating effect mitigation

Author:

An Do GyunORCID,Kim Garam,Kim HyunwooORCID,Kim Sangwan,Kim Jang Hyun

Abstract

Abstract Artificial intelligence computing requires hardware like central processing units and graphic processing units for data processing. However, excessive heat generated during computations remains a challenge. The paper focuses on the heat issue in logic devices caused by transistor structures. To address the problem, the operational mechanism of the Junctionless Field-Effect Transistor (JLFET) is investigated. JLFET shows potential in mitigating heat-related issues and is compared to other nanosheet (ns) FETs. In the case of JL-nsFET, the change in mobility with increasing temperature is smaller compared to Con-nsFET, resulting in less susceptibility to lattice scattering and thermal resistance (Rth) in self-heating effect situation is 0.43 [K µW−1] for Con-nsFET and 0.414 [K µW−1] for JL-nsFET. The reason why the Rth of JL-nsFET is smaller than that of Con-nsFET is that JL-nsFET uses a source heat injection conduction mechanism and a large heat transfer area by using a bulk channel.

Publisher

IOP Publishing

Subject

Materials Chemistry,Electrical and Electronic Engineering,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

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