Seohyeon Park , Jaewook Yoo , Seokjin Oh , Hongseung Lee , Minah Park , Seongbin Lim , Soyeon Kim , Sojin Jung , Bongjoong Kim , Keun Heo , Taehwan Moon , TaeWan Kim , Mengwei Si , Peide D. Ye , Hagyoul Bae
{"title":"HZO/β-Ga2O3 3D FinFET在高感知突触器件中的应用提高了电性能","authors":"Seohyeon Park , Jaewook Yoo , Seokjin Oh , Hongseung Lee , Minah Park , Seongbin Lim , Soyeon Kim , Sojin Jung , Bongjoong Kim , Keun Heo , Taehwan Moon , TaeWan Kim , Mengwei Si , Peide D. Ye , Hagyoul Bae","doi":"10.1016/j.mssp.2025.110104","DOIUrl":null,"url":null,"abstract":"<div><div>In this study, we have demonstrated a novel high-performance ferroelectric FinFET (Fe-FinFET) that integrates ultra-wide-bandgap (UWBG) beta-gallium oxide (<em>β</em>-Ga<sub>2</sub>O<sub>3</sub>) channel with an atomic layer deposited (ALD) hafnium zirconium oxide (HZO) ferroelectric layer for the first time, and experimentally validated the effectiveness of the robust <em>β</em>-Ga<sub>2</sub>O<sub>3</sub> platform as a memory application. Compared with conventional planar ferroelectric FET (FeFET), the Fe-FinFET exhibits a markedly wider counter-clockwise hysteresis loop in its transfer characteristics, achieving a large memory window (MW) of 13.9 V with a single HZO layer. When normalized to the actual channel width, the Fe-FinFETs show an improved <em>I</em><sub>ON</sub>/<em>I</em><sub>OFF</sub> ratio of 2.3 × 10<sup>7</sup> and a subthreshold swing value of 110 mV/dec; Y-function method further indicates that the intrinsic mobility is improved to 4.25 × 10<sup>2</sup> cm<sup>2</sup>/Vs. The enhanced polarization due to larger electric fields across the ferroelectric layer in Fe-FinFET is validated using Sentaurus TCAD, and this result is further supported by the energy-dependent distribution of interface trap density (<em>D</em><sub>it</sub>) extracted in both forward and reverse sweep directions. After 5 × 10<sup>6</sup> program/erase (PGM/ERS) cycles, the MW was maintained at 9.2 V, and the retention time was measured up to 3 × 10<sup>4</sup> s with low degradation. To verify its potential as an artificial synapse, we trained a convolutional neural network (CNN) and achieved an accuracy of 91.7 %. These results establish the HZO/<em>β</em>-Ga<sub>2</sub>O<sub>3</sub> Fe-FinFET as a promising candidate for high voltage-enduring, non-volatile memory devices that also offer synaptic functionality for neuromorphic applications.</div></div>","PeriodicalId":18240,"journal":{"name":"Materials Science in Semiconductor Processing","volume":"201 ","pages":"Article 110104"},"PeriodicalIF":4.6000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhanced electrical performances with HZO/β-Ga2O3 3D FinFET toward highly perceptual synaptic device application\",\"authors\":\"Seohyeon Park , Jaewook Yoo , Seokjin Oh , Hongseung Lee , Minah Park , Seongbin Lim , Soyeon Kim , Sojin Jung , Bongjoong Kim , Keun Heo , Taehwan Moon , TaeWan Kim , Mengwei Si , Peide D. Ye , Hagyoul Bae\",\"doi\":\"10.1016/j.mssp.2025.110104\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In this study, we have demonstrated a novel high-performance ferroelectric FinFET (Fe-FinFET) that integrates ultra-wide-bandgap (UWBG) beta-gallium oxide (<em>β</em>-Ga<sub>2</sub>O<sub>3</sub>) channel with an atomic layer deposited (ALD) hafnium zirconium oxide (HZO) ferroelectric layer for the first time, and experimentally validated the effectiveness of the robust <em>β</em>-Ga<sub>2</sub>O<sub>3</sub> platform as a memory application. Compared with conventional planar ferroelectric FET (FeFET), the Fe-FinFET exhibits a markedly wider counter-clockwise hysteresis loop in its transfer characteristics, achieving a large memory window (MW) of 13.9 V with a single HZO layer. When normalized to the actual channel width, the Fe-FinFETs show an improved <em>I</em><sub>ON</sub>/<em>I</em><sub>OFF</sub> ratio of 2.3 × 10<sup>7</sup> and a subthreshold swing value of 110 mV/dec; Y-function method further indicates that the intrinsic mobility is improved to 4.25 × 10<sup>2</sup> cm<sup>2</sup>/Vs. The enhanced polarization due to larger electric fields across the ferroelectric layer in Fe-FinFET is validated using Sentaurus TCAD, and this result is further supported by the energy-dependent distribution of interface trap density (<em>D</em><sub>it</sub>) extracted in both forward and reverse sweep directions. After 5 × 10<sup>6</sup> program/erase (PGM/ERS) cycles, the MW was maintained at 9.2 V, and the retention time was measured up to 3 × 10<sup>4</sup> s with low degradation. To verify its potential as an artificial synapse, we trained a convolutional neural network (CNN) and achieved an accuracy of 91.7 %. These results establish the HZO/<em>β</em>-Ga<sub>2</sub>O<sub>3</sub> Fe-FinFET as a promising candidate for high voltage-enduring, non-volatile memory devices that also offer synaptic functionality for neuromorphic applications.</div></div>\",\"PeriodicalId\":18240,\"journal\":{\"name\":\"Materials Science in Semiconductor Processing\",\"volume\":\"201 \",\"pages\":\"Article 110104\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Materials Science in Semiconductor Processing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S136980012500842X\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materials Science in Semiconductor Processing","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S136980012500842X","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Enhanced electrical performances with HZO/β-Ga2O3 3D FinFET toward highly perceptual synaptic device application
In this study, we have demonstrated a novel high-performance ferroelectric FinFET (Fe-FinFET) that integrates ultra-wide-bandgap (UWBG) beta-gallium oxide (β-Ga2O3) channel with an atomic layer deposited (ALD) hafnium zirconium oxide (HZO) ferroelectric layer for the first time, and experimentally validated the effectiveness of the robust β-Ga2O3 platform as a memory application. Compared with conventional planar ferroelectric FET (FeFET), the Fe-FinFET exhibits a markedly wider counter-clockwise hysteresis loop in its transfer characteristics, achieving a large memory window (MW) of 13.9 V with a single HZO layer. When normalized to the actual channel width, the Fe-FinFETs show an improved ION/IOFF ratio of 2.3 × 107 and a subthreshold swing value of 110 mV/dec; Y-function method further indicates that the intrinsic mobility is improved to 4.25 × 102 cm2/Vs. The enhanced polarization due to larger electric fields across the ferroelectric layer in Fe-FinFET is validated using Sentaurus TCAD, and this result is further supported by the energy-dependent distribution of interface trap density (Dit) extracted in both forward and reverse sweep directions. After 5 × 106 program/erase (PGM/ERS) cycles, the MW was maintained at 9.2 V, and the retention time was measured up to 3 × 104 s with low degradation. To verify its potential as an artificial synapse, we trained a convolutional neural network (CNN) and achieved an accuracy of 91.7 %. These results establish the HZO/β-Ga2O3 Fe-FinFET as a promising candidate for high voltage-enduring, non-volatile memory devices that also offer synaptic functionality for neuromorphic applications.
期刊介绍:
Materials Science in Semiconductor Processing provides a unique forum for the discussion of novel processing, applications and theoretical studies of functional materials and devices for (opto)electronics, sensors, detectors, biotechnology and green energy.
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Coverage will include: advanced lithography for submicron devices; etching and related topics; ion implantation; damage evolution and related issues; plasma and thermal CVD; rapid thermal processing; advanced metallization and interconnect schemes; thin dielectric layers, oxidation; sol-gel processing; chemical bath and (electro)chemical deposition; compound semiconductor processing; new non-oxide materials and their applications; (macro)molecular and hybrid materials; molecular dynamics, ab-initio methods, Monte Carlo, etc.; new materials and processes for discrete and integrated circuits; magnetic materials and spintronics; heterostructures and quantum devices; engineering of the electrical and optical properties of semiconductors; crystal growth mechanisms; reliability, defect density, intrinsic impurities and defects.