Litcius/Paper detail

Revival of Ferroelectric Memories Based on Emerging Fluorite‐Structured Ferroelectrics

Ju Yong Park, Duk‐Hyun Choe, Dong Hyun Lee, Geun Taek Yu, Kun Yang, Se Hyun Kim, Geun Hyeong Park, Seung‐Geol Nam, Hyun Jae Lee, Sanghyun Jo, Bong Jin Kuh, Daewon Ha, Yongsung Kim, Jinseong Heo, Min Hyuk Park

2022Advanced Materials174 citationsDOIOpen Access PDF

Abstract

Over the last few decades, the research on ferroelectric memories has been limited due to their dimensional scalability and incompatibility with complementary metal-oxide-semiconductor (CMOS) technology. The discovery of ferroelectricity in fluorite-structured oxides revived interest in the research on ferroelectric memories, by inducing nanoscale nonvolatility in state-of-the-art gate insulators by minute doping and thermal treatment. The potential of this approach has been demonstrated by the fabrication of sub-30 nm electronic devices. Nonetheless, to realize practical applications, various technical limitations, such as insufficient reliability including endurance, retention, and imprint, as well as large device-to-device-variation, require urgent solutions. Furthermore, such limitations should be considered based on targeting devices as well as applications. Various types of ferroelectric memories including ferroelectric random-access-memory, ferroelectric field-effect-transistor, and ferroelectric tunnel junction should be considered for classical nonvolatile memories as well as emerging neuromorphic computing and processing-in-memory. Therefore, from the viewpoint of materials science, this review covers the recent research focusing on ferroelectric memories from the history of conventional approaches to future prospects.

Topics & Concepts

FerroelectricityMaterials scienceNeuromorphic engineeringScalabilityNon-volatile memoryNanotechnologyTransistorField-effect transistorOptoelectronicsEngineering physicsComputer scienceElectrical engineeringEngineeringArtificial intelligenceVoltageArtificial neural networkDatabaseDielectricFerroelectric and Negative Capacitance DevicesAdvanced Memory and Neural ComputingFerroelectric and Piezoelectric Materials