Pan Zhao, Taoyu Zhou, Naiqi Liu, Yandong He, Gang Du
{"title":"Analytical multistage thermal resistance model for NSFET self-heating effects","authors":"Pan Zhao, Taoyu Zhou, Naiqi Liu, Yandong He, Gang Du","doi":"10.1016/j.mejo.2024.106499","DOIUrl":null,"url":null,"abstract":"<div><div>As semiconductor technology nodes continue to scale down to 3 nm, the self-heating effect in Gate-All-Around Nanosheet Field-Effect Transistors (GAA-NSFETs) has become a significant concern. This issue arises due to the complex interaction between device dimensions, material properties, and thermal management, which can lead to performance degradation and reliability challenges in advanced transistor designs. This paper aims to investigate the self-heating phenomenon in three-stacked nanosheet FETs and to develop a novel thermal resistance model that accurately captures the thermal behavior of these devices. The goal is to create a reliable framework for analyzing and mitigating self-heating effects in nanosheet-based transistors. We employed TCAD and SPICE simulations to analyze the self-heating effect in nanosheet FETs. A new multi-stage thermal resistance model (TRM), incorporating both thermal resistance (Rₜₕ) and thermal capacitance (Cₜₕ), was developed within the Berkeley Short-channel IGFET Model-Common MultiGate (BSIM-CMG) framework. Model accuracy was ensured by fitting the simulated ID-VG curves to experimental data, followed by parameter extraction and calibration based on self-heating evaluations. The proposed multi-stage Rₜₕ model demonstrated strong agreement with the simulation results, providing an accurate representation of the thermal behavior in three-stacked nanosheet FETs. This model offers a robust tool for analyzing self-heating effects in advanced nanosheet devices and can be used to guide the design and optimization of future low-power, high-performance transistors.</div></div>","PeriodicalId":49818,"journal":{"name":"Microelectronics Journal","volume":"155 ","pages":"Article 106499"},"PeriodicalIF":1.9000,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microelectronics Journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1879239124002030","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
As semiconductor technology nodes continue to scale down to 3 nm, the self-heating effect in Gate-All-Around Nanosheet Field-Effect Transistors (GAA-NSFETs) has become a significant concern. This issue arises due to the complex interaction between device dimensions, material properties, and thermal management, which can lead to performance degradation and reliability challenges in advanced transistor designs. This paper aims to investigate the self-heating phenomenon in three-stacked nanosheet FETs and to develop a novel thermal resistance model that accurately captures the thermal behavior of these devices. The goal is to create a reliable framework for analyzing and mitigating self-heating effects in nanosheet-based transistors. We employed TCAD and SPICE simulations to analyze the self-heating effect in nanosheet FETs. A new multi-stage thermal resistance model (TRM), incorporating both thermal resistance (Rₜₕ) and thermal capacitance (Cₜₕ), was developed within the Berkeley Short-channel IGFET Model-Common MultiGate (BSIM-CMG) framework. Model accuracy was ensured by fitting the simulated ID-VG curves to experimental data, followed by parameter extraction and calibration based on self-heating evaluations. The proposed multi-stage Rₜₕ model demonstrated strong agreement with the simulation results, providing an accurate representation of the thermal behavior in three-stacked nanosheet FETs. This model offers a robust tool for analyzing self-heating effects in advanced nanosheet devices and can be used to guide the design and optimization of future low-power, high-performance transistors.
期刊介绍:
Published since 1969, the Microelectronics Journal is an international forum for the dissemination of research and applications of microelectronic systems, circuits, and emerging technologies. Papers published in the Microelectronics Journal have undergone peer review to ensure originality, relevance, and timeliness. The journal thus provides a worldwide, regular, and comprehensive update on microelectronic circuits and systems.
The Microelectronics Journal invites papers describing significant research and applications in all of the areas listed below. Comprehensive review/survey papers covering recent developments will also be considered. The Microelectronics Journal covers circuits and systems. This topic includes but is not limited to: Analog, digital, mixed, and RF circuits and related design methodologies; Logic, architectural, and system level synthesis; Testing, design for testability, built-in self-test; Area, power, and thermal analysis and design; Mixed-domain simulation and design; Embedded systems; Non-von Neumann computing and related technologies and circuits; Design and test of high complexity systems integration; SoC, NoC, SIP, and NIP design and test; 3-D integration design and analysis; Emerging device technologies and circuits, such as FinFETs, SETs, spintronics, SFQ, MTJ, etc.
Application aspects such as signal and image processing including circuits for cryptography, sensors, and actuators including sensor networks, reliability and quality issues, and economic models are also welcome.