CEA-Leti 将铁电 RAM 推进至 22nm 节点,为边缘 AI 解锁更密集、更高效的存储器

CEA-Leti Scales Ferroelectric RAM to 22nm Node, Unlocking Denser, More Efficient Memory for Edge AI

CEA-Leti Original
摘要
法国CEA-Leti在VLSI 2026会议上宣布,成功将铁电存储器(FeRAM)微缩至22纳米节点,采用三维氧化铪锆电容架构,使其密度达到先进10纳米SRAM水平,同时保持非易失性,为边缘AI、高性能计算及物联网设备带来比以往更快、更节能的本地数据处理能力。

CEA-Leti在2026年VLSI会议上宣布,已将铁电存储器(FeRAM)成功微缩至22纳米节点,通过采用铪锆氧化物(HZO)薄膜构建的垂直三维电容器架构,突破了长期制约FeRAM的密度瓶颈。该成果使FeRAM单元面积在相同22nm节点下仅为标准SRAM的40%,密度与先进10nm节点的SRAM相当,同时兼具非易失特性——断电后仍可保持数据。

传统的平面电容器结构限制了FeRAM的微缩,而此次研究团队利用后道工艺(BEOL)在22nm平台上实现了两种三维铁电电容(FeCap)集成方案。在1.3V工作电压下,基于标准逻辑选择管、高宽比约4:1的三维FeCap的1T-1C单元面积已缩小至0.047 μm²,阵列功能与比特分布表现良好。团队更展示了向更高密度演进的明确路径:高宽比达17:1、直径60nm、间距120nm的FeCap可将电容占用面积降至仅0.0028 μm²,在保持阵列密度的同时有效增大存储窗口。

该三维电容器还表现出“无唤醒”特性,即器件电学特性在初始循环中不会发生漂移。进动电子衍射(PED)证实,HZO薄膜中约80%的正交相是稳定工作的关键,而窄高深宽比通孔对材料的束缚可能通过改变铁电薄膜的应变状态,从根源上稳定了所需晶相。

这项进步意味着快速且高密度的FeRAM可直接嵌入处理器,赋能边缘端本地化AI处理,避免设备频繁将数据发往云端所带来的时间和能耗开销,有望降低持续增长的全球计算电力需求。CEA-Leti计划将高深宽比FeCap集成至22nm FDSOI平台上的高密度FeRAM阵列,以打造性能最强的嵌入式FeRAM。该项目获得了欧盟、Chips Joint Undertaking(Fames项目)以及法国“法国2030”计划(特别是NextGen项目)的资助。另悉,CEA-Leti的一名专家还将在本次VLSI会议上发表关于神经技术创新与临床转化的演讲。

Summary
CEA-Leti demonstrated at VLSI 2026 a 22nm ferroelectric RAM (FeRAM) with 3D vertical capacitors that achieves 2.5x smaller cells than standard SRAM, matching the density of 10nm SRAM while retaining data without power. The breakthrough, backed by EU and France 2030 funding, enables dense, non-volatile embedded memory for energy-efficient edge AI and extends to high-performance computing, aerospace, and IoT platforms.

CEA-Leti has scaled ferroelectric RAM (FeRAM) to the 22nm node by replacing traditional planar capacitors with a vertical 3D architecture, a breakthrough presented at the VLSI 2026 symposium in Honolulu. The innovation eliminates the density barrier that long prevented FeRAM from competing with volatile memories like SRAM. Using hafnium zirconium oxide (HZO) thin films, the team built capacitors upward, producing memory cells 2.5 times smaller than standard 22nm SRAM and matching the density of 10nm SRAM—while retaining data without power. This non-volatile, high-density memory enables direct embedding on processors, allowing edge devices to process AI locally, cutting energy and time spent on cloud offloading.

The researchers demonstrated two back-end-of-line integration schemes for 3D ferroelectric capacitors (FeCaps) at 22nm. Functional 1T-1C arrays with Gaussian bit distributions were confirmed at 0.047 μm² bitcells operating at just 1.3V, using a standard logic selector and a 3D FeCap with a roughly 4:1 aspect ratio. A path to far denser arrays was also shown: FeCaps with a 17:1 aspect ratio, 60nm diameter, and 120nm pitch shrink the capacitor footprint to 0.0028 μm². The tall, narrow geometry maximizes effective surface area, widening the memory window without sacrificing array density.

Critically, these high-aspect-ratio capacitors displayed no wake-up effect—a common reliability problem where early electrical cycling shifts device characteristics unpredictably. Precession electron diffraction revealed an approximately 80% orthorhombic phase fraction in the HZO film, suggesting that material confinement in the narrow vias modifies strain and stabilizes the memory-active crystal phase from the outset. CEA-Leti plans to integrate such high-aspect-ratio FeCaps into dense arrays on a 22nm FDSOI platform, aiming for the highest-performance embedded FeRAM yet. The research was funded by the European Union, the Chips Joint Undertaking (Fames projects), and French authorities under France 2030 (particularly the NextGen project).

Résumé
Le CEA-Leti a présenté au symposium VLSI 2026 une mémoire FeRAM gravée en 22 nm avec une architecture 3D à base d’oxyde d’hafnium-zirconium, atteignant une densité 2,5 fois supérieure à la SRAM tout en restant non volatile. Cette avancée lève un verrou historique et ouvre la voie à des puces d’IA en périphérie plus rapides et économes en énergie, en permettant le traitement local des données sans recours systématique au cloud.

​​​​​​​​​​​Breakthrough Reported at VLSI 2026 Also Extends to High-Performance Computing, Aerospace & Defense Systems, and IoT Platforms​

​HONOLULU, Hawaii — June 15, 2026— CEA-Leti today announced a major advance in memory technology: the demonstration of ferroelectric RAM (FeRAM) scaled to the 22nm manufacturing node using an innovative 3D capacitor architecture. The breakthrough, presented at the VLSI Conference in Honolulu, removes a longstanding density barrier that has kept FeRAM from competing with volatile memory—and opens the door to faster, more energy-efficient artificial intelligence (AI) at the edge.

By vertically integrating ferroelectric capacitors made from hafnium zirconium oxide (HZO) thin films, the team achieved memory cells that are 2.5 times smaller than standard SRAM at the same 22nm node, matching the density of SRAM at the much more advanced 10nm node. Moreover, unlike SRAM, FeRAM retains data without power, combining non-volatility with a density previously attainable only by volatile memory.

Today's smart devices increasingly rely on sending da​ta to the cloud for AI processing—a costly cycle in both time and energy. FeRAM that is both fast and dense enough to embed directly on a processor enables devices to process data locally. The implications extend beyond user convenience: computing operations account for a significant and growing share of global electricity consumption, much of it still generated from fossil fuels.

Historically, FeRAM fabrication was constrained to flat, planar capacitor structures that limited how small and dense memory cells could be manufactured. In these architectures, the capacitor—not the selection transistor—determines the cell footprint because the current flowing through the capacitor during memory operations is inherently low. To overcome this physical limit, CEA-Leti shifted to a vertical architecture, building the capacitor upwards rather than outwards.

The team demonstrated two back-end-of-line (BEOL) integration schemes for 3D ferroelectric capacitors (FeCaps) at 22nm, utilizing advanced patterning and deposition techniques. Array functionality with Gaussian bit distributions was confirmed down to 0.047 μm² 1T-1C FeRAM bitcells operating at just 1.3V, featuring a standard logic selector and a 3D FeCap with an aspect ratio of roughly 4:1.

The researchers also demonstrated a clear path to even greater density: 3D FeCaps with an aspect ratio of 17:1, a 60nm diameter, and a 120nm pitch - shrinking the capacitor footprint to just 0.0028 μm². A higher aspect ratio maximizes the effective surface area of the ferroelectric capacitor within each bitcell, enlarging the memory window without sacrificing array density.

Traditional FeRAM devices often exhibit a phenomenon known as "wake-up," where electrical characteristics shift unpredictably during initial cycling, degrading stability and reliability. CEA-Leti's high-aspect-ratio 3D capacitors exhibited wake-up-free behavior consistent with an approximately 80 percent orthorhombic phase fraction in the HZO film, as confirmed by precession electron diffraction (PED).

While the precise mechanism is still under study, the suppression of wake-up is likely related to the confinement of materials within the narrow, high-aspect-ratio vias, which locally modifies the strain state in the ferroelectric thin film. This stabilizes the crystal phase responsible for memory function from the outset.

CEA-Leti plans to integrate the demonstrated high-aspect-ratio ferroelectric capacitors into dense FeRAM arrays on a 22nm FDSOI platform, aiming to achieve the highest-performance embedded FeRAM to date.

NOTE:Dr.Madjid Hihi,Deputy Director for Clinical Innovation at CEA-Leti's Innovative Health Technologies Division, will speak at a VLSIluncheon from ​​​12:15–1:15 PM,onJune 18. The title of his talk is “Innovative Neurotechnologies – A Journey from the Lab to the Clinic and Back." Neurotechnology is a booming field, andMadjid will highlight clinical world premieres enabled by CEA-Leti technologies.

This project received funding from the European Union and Chips Joint Undertaking (Fames projects), supported by French public authorities (France 2030, in particular through the NextGen project).​

AI Insight
Core Point

CEA-Leti 将铁电存储器(FeRAM)微缩至22纳米节点,利用3D电容突破密度壁垒,为边缘AI提供兼具非易失性与高密度的功耗敏感型嵌入式内存。

Key Players
  • CEA-Leti — 法国格勒诺布尔的电子与信息技术研究院,专精微纳技术。
Industry Impact
  • ICT: 高 — 嵌入式非易失性内存密度匹配10nm级SRAM,颠覆现有半导体存储格局。
  • Terminals/Consumer Electronics: 中 — 赋能智能设备本地AI推理,降低延迟与功耗。
  • Energy: 中 — 减少云端算力依赖,缓解数据中心能耗增长压力。
  • Computing/AI: 高 — 为边缘AI和高性能计算提供更快、更节能的非易失内存方案。
Tracking

Strongly track — 该技术有望打破FeRAM商用化瓶颈,若成功集成至FD-SOI平台将重塑嵌入式内存市场并加速边缘AI部署。

Highlights
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半导体 人工智能 科研
AI Processing
2026-06-15 14:21
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