File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1021/acsnano.3c03505
- Scopus: eid_2-s2.0-85164302676
- WOS: WOS:001019357000001
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Recent Advances and Future Prospects for Memristive Materials, Devices, and Systems
Title | Recent Advances and Future Prospects for Memristive Materials, Devices, and Systems |
---|---|
Authors | Song, Min-KyuKang, Ji-HoonZhang, XinyuanJi, WonjaeAscoli, AlonMessaris, IoannisDemirkol, Ahmet SamilDong, BoweiAggarwal, SamarthWan, WeierHong, Seok-ManCardwell, Suma GeorgeBoybat, IremSeo, Jae-sunLee, Jang-SikLanza, MarioYeon, HanwoolOnen, MuratLi, JuYildiz, Bilgedel Alamo, Jesús AKim, SeyoungChoi, ShinhyunMilano, GianlucaRicciardi, CarloAlff, LambertChai, YangWang, ZhongruiBhaskaran, HarishHersam, Mark CStrukov, DmitriWong, H-S PhilipValov, IliaGao, BinWu, HuaqiangTetzlaff, RonaldSebastian, AbuLu, WeiChua, LeonYang, J JoshuaKim, Jeehwan
|
Keywords | compute-in-memory ferroelectric memory in-sensor computing ion-intercalation resistors memristor memtransistors neuromorphic computing phase change memory resistive switching memory |
Issue Date | 29-Jun-2023 |
Publisher | American Chemical Society |
Citation | ACS Nano, 2023, v. 17, n. 13, p. 11994-12039 How to Cite? |
Abstract | Memristive technology has been rapidly emerging as apotentialalternative to traditional CMOS technology, which is facing fundamentallimitations in its development. Since oxide-based resistive switcheswere demonstrated as memristors in 2008, memristive devices have garneredsignificant attention due to their biomimetic memory properties, whichpromise to significantly improve power consumption in computing applications.Here, we provide a comprehensive overview of recent advances in memristivetechnology, including memristive devices, theory, algorithms, architectures,and systems. In addition, we discuss research directions for variousapplications of memristive technology including hardware acceleratorsfor artificial intelligence, in-sensor computing, and probabilisticcomputing. Finally, we provide a forward-looking perspective on thefuture of memristive technology, outlining the challenges and opportunitiesfor further research and innovation in this field. By providing anup-to-date overview of the state-of-the-art in memristive technology,this review aims to inform and inspire further research in this field. |
Persistent Identifier | http://hdl.handle.net/10722/339395 |
ISSN | 2023 Impact Factor: 15.8 2023 SCImago Journal Rankings: 4.593 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Song, Min-Kyu | - |
dc.contributor.author | Kang, Ji-Hoon | - |
dc.contributor.author | Zhang, Xinyuan | - |
dc.contributor.author | Ji, Wonjae | - |
dc.contributor.author | Ascoli, Alon | - |
dc.contributor.author | Messaris, Ioannis | - |
dc.contributor.author | Demirkol, Ahmet Samil | - |
dc.contributor.author | Dong, Bowei | - |
dc.contributor.author | Aggarwal, Samarth | - |
dc.contributor.author | Wan, Weier | - |
dc.contributor.author | Hong, Seok-Man | - |
dc.contributor.author | Cardwell, Suma George | - |
dc.contributor.author | Boybat, Irem | - |
dc.contributor.author | Seo, Jae-sun | - |
dc.contributor.author | Lee, Jang-Sik | - |
dc.contributor.author | Lanza, Mario | - |
dc.contributor.author | Yeon, Hanwool | - |
dc.contributor.author | Onen, Murat | - |
dc.contributor.author | Li, Ju | - |
dc.contributor.author | Yildiz, Bilge | - |
dc.contributor.author | del Alamo, Jesús A | - |
dc.contributor.author | Kim, Seyoung | - |
dc.contributor.author | Choi, Shinhyun | - |
dc.contributor.author | Milano, Gianluca | - |
dc.contributor.author | Ricciardi, Carlo | - |
dc.contributor.author | Alff, Lambert | - |
dc.contributor.author | Chai, Yang | - |
dc.contributor.author | Wang, Zhongrui | - |
dc.contributor.author | Bhaskaran, Harish | - |
dc.contributor.author | Hersam, Mark C | - |
dc.contributor.author | Strukov, Dmitri | - |
dc.contributor.author | Wong, H-S Philip | - |
dc.contributor.author | Valov, Ilia | - |
dc.contributor.author | Gao, Bin | - |
dc.contributor.author | Wu, Huaqiang | - |
dc.contributor.author | Tetzlaff, Ronald | - |
dc.contributor.author | Sebastian, Abu | - |
dc.contributor.author | Lu, Wei | - |
dc.contributor.author | Chua, Leon | - |
dc.contributor.author | Yang, J Joshua | - |
dc.contributor.author | Kim, Jeehwan | - |
dc.date.accessioned | 2024-03-11T10:36:17Z | - |
dc.date.available | 2024-03-11T10:36:17Z | - |
dc.date.issued | 2023-06-29 | - |
dc.identifier.citation | ACS Nano, 2023, v. 17, n. 13, p. 11994-12039 | - |
dc.identifier.issn | 1936-0851 | - |
dc.identifier.uri | http://hdl.handle.net/10722/339395 | - |
dc.description.abstract | <p>Memristive technology has been rapidly emerging as apotentialalternative to traditional CMOS technology, which is facing fundamentallimitations in its development. Since oxide-based resistive switcheswere demonstrated as memristors in 2008, memristive devices have garneredsignificant attention due to their biomimetic memory properties, whichpromise to significantly improve power consumption in computing applications.Here, we provide a comprehensive overview of recent advances in memristivetechnology, including memristive devices, theory, algorithms, architectures,and systems. In addition, we discuss research directions for variousapplications of memristive technology including hardware acceleratorsfor artificial intelligence, in-sensor computing, and probabilisticcomputing. Finally, we provide a forward-looking perspective on thefuture of memristive technology, outlining the challenges and opportunitiesfor further research and innovation in this field. By providing anup-to-date overview of the state-of-the-art in memristive technology,this review aims to inform and inspire further research in this field.<br></p> | - |
dc.language | eng | - |
dc.publisher | American Chemical Society | - |
dc.relation.ispartof | ACS Nano | - |
dc.subject | compute-in-memory | - |
dc.subject | ferroelectric memory | - |
dc.subject | in-sensor computing | - |
dc.subject | ion-intercalation resistors | - |
dc.subject | memristor | - |
dc.subject | memtransistors | - |
dc.subject | neuromorphic computing | - |
dc.subject | phase change memory | - |
dc.subject | resistive switching memory | - |
dc.title | Recent Advances and Future Prospects for Memristive Materials, Devices, and Systems | - |
dc.type | Article | - |
dc.identifier.doi | 10.1021/acsnano.3c03505 | - |
dc.identifier.scopus | eid_2-s2.0-85164302676 | - |
dc.identifier.volume | 17 | - |
dc.identifier.issue | 13 | - |
dc.identifier.spage | 11994 | - |
dc.identifier.epage | 12039 | - |
dc.identifier.eissn | 1936-086X | - |
dc.identifier.isi | WOS:001019357000001 | - |
dc.identifier.issnl | 1936-0851 | - |