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Recent advances in ferroelectric materials, devices, and in-memory computing applications
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hwang, Hwiho | - |
| dc.contributor.author | Youn, Sangwook | - |
| dc.contributor.author | Kim, Hyungjin | - |
| dc.date.accessioned | 2026-02-10T06:02:26Z | - |
| dc.date.available | 2026-02-10T06:02:26Z | - |
| dc.date.issued | 2025-11 | - |
| dc.identifier.issn | 2196-5404 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/210746 | - |
| dc.description.abstract | Ferroelectric memories have undergone a transformative evolution from conventional perovskite-based materials to modern fluorite-structured ferroelectrics, driven by the pursuit of scalable, low-power, and CMOS-compatible non-volatile memory solutions. The observation of ferroelectricity in nanoscale HfO2-based films has enabled integration with CMOS-compatible processes, providing advantages such as potential scalability, low power consumption, and non-volatility, while facilitating continued scaling and high-density integration. Leveraging established materials infrastructure in the semiconductor industry, hafnia-based ferroelectrics have been incorporated in various memory architectures, including ferroelectric random-access memory (FeRAM), ferroelectric tunnel junctions (FTJs), ferroelectric field-effect transistors (FeFETs), and ferroelectric memcapacitors (FeCAPs). Beyond conventional non-volatile storage, these devices have also emerged as promising building blocks for in-memory computing applications, including neuromorphic systems, hardware security primitives, and associative memory. In this review, we explore the historical development of ferroelectric memories from a materials-device co-design perspective, examine recent advances in device architectures and in-memory computing applications, and discuss the remaining challenges in endurance, retention, variability, and scaling. Finally, we propose future research directions that integrating material innovation, interface engineering, and circuit-level optimization to realize the full potential of ferroelectric memories in next-generation computing platforms. | - |
| dc.format.extent | 31 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | SPRINGER | - |
| dc.title | Recent advances in ferroelectric materials, devices, and in-memory computing applications | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.doi | 10.1186/s40580-025-00520-2 | - |
| dc.identifier.scopusid | 2-s2.0-105021121136 | - |
| dc.identifier.wosid | 001609333200002 | - |
| dc.identifier.bibliographicCitation | NANO CONVERGENCE, v.12, no.1, pp 1 - 31 | - |
| dc.citation.title | NANO CONVERGENCE | - |
| dc.citation.volume | 12 | - |
| dc.citation.number | 1 | - |
| dc.citation.startPage | 1 | - |
| dc.citation.endPage | 31 | - |
| dc.type.docType | Review | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
| dc.relation.journalResearchArea | Materials Science | - |
| dc.relation.journalResearchArea | Physics | - |
| dc.relation.journalWebOfScienceCategory | Nanoscience & Nanotechnology | - |
| dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
| dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
| dc.subject.keywordPlus | CONTENT-ADDRESSABLE MEMORY | - |
| dc.subject.keywordPlus | PHYSICAL UNCLONABLE FUNCTIONS | - |
| dc.subject.keywordPlus | THIN-FILMS | - |
| dc.subject.keywordPlus | ROCHELLE SALT | - |
| dc.subject.keywordPlus | SCHEME | - |
| dc.subject.keywordPlus | CRYSTAL | - |
| dc.subject.keywordPlus | TCAM | - |
| dc.subject.keywordPlus | ARCHITECTURES | - |
| dc.subject.keywordPlus | TRANSISTORS | - |
| dc.subject.keywordPlus | PERFORMANCE | - |
| dc.subject.keywordAuthor | Ferroelectric thin films | - |
| dc.subject.keywordAuthor | Non-volatile memory devices | - |
| dc.subject.keywordAuthor | In-memory computing | - |
| dc.subject.keywordAuthor | Neuromorphic computing | - |
| dc.subject.keywordAuthor | Hardware security | - |
| dc.identifier.url | https://link.springer.com/article/10.1186/s40580-025-00520-2 | - |
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