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A New Back-End-Of-Line Ferroelectric Field-Effect Transistor Platform via Laser Processingopen access

Authors
Kim, Sang WooShin, WonjunKoo, Ryun-HanKim, JangsaengIm, JiseongKoh, DooyongLee, Jong-HoCheema, Suraj SKwon, Daewoong
Issue Date
Apr-2025
Publisher
WILEY-V C H VERLAG GMBH
Keywords
back-end-of-line; ferroelectric fied-effect transistor; monolithic 3D integration; poly-Si
Citation
SMALL, v.21, no.15, pp 1 - 12
Pages
12
Indexed
SCIE
SCOPUS
Journal Title
SMALL
Volume
21
Number
15
Start Page
1
End Page
12
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212448
DOI
10.1002/smll.202406376
ISSN
1613-6810
1613-6829
Abstract
The discovery of ferroelectricity in hafnia-based materials has revitalized interest in realizing ferroelectric field-effect transistors (FeFETs) due to its compatibility with modern microelectronics. Furthermore, low-temperature processing by atomic layer deposition offers promise for realizing monolithic three-dimensional (M3D) integration toward energy- and area-efficient computing paradigms. However, integrating ferroelectrics with channel materials in FeFETs for M3D integration remains challenging due to the dual requirement of a high-quality ferroelectric-channel interface and low-power operation, all while maintaining back-end-of-line (BEOL)-compatible fabrication temperatures. Recent studies on 2D semiconductors and metal oxide channels highlight these challenges. Polycrystalline silicon (poly-Si), a channel material long integrated into the semiconductor industry, presents a promising alternative; however, its high fabrication temperature has hindered its applications to M3D integration. To overcome this challenge, we demonstrates a BEOL-compatible FeFET platform using poly-Si channels fabricated via locally-confined laser thermal processing and hafnia-based ferroelectrics by low-temperature atomic layer deposition with wafer-scale uniformity. The local nature of the laser processing mitigates the trade-off between the high-temperature crystallization for the quality of the interface and BEOL thermal budget constraints. The laser-processed FeFETs boast the largest effective memory widow for all BEOL-compatible FeFETs. Moreover, the fabricated FeFETs are integrated into wafer-scale synaptic arrays for neuromorphic computing, achieving record-high energy efficiency. Therefore, this work establishes a promising BEOL-compatible FeFET materials platform toward M3D integration.
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