Park Ju Yong, Choe Duk-Hyun, Lee Dong Hyun, Yu Geun Taek, Yang Kun, Kim Se Hyun, Park Geun Hyeong, Nam Seung-Geol, Lee Hyun Jae, Jo Sanghyun, Kuh Bong Jin, Ha Daewon, Kim Yongsung, Heo Jinseong, Park Min Hyuk
Research Institute of Advanced Materials, Seoul National University, Seoul, 08826, Republic of Korea.
Beyond Silicon Lab, Samsung Advanced Institute of Technology (SAIT), Suwon, 16678, Republic of Korea.
Adv Mater. 2023 Oct;35(43):e2204904. doi: 10.1002/adma.202204904. Epub 2023 Mar 11.
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.
在过去几十年里,铁电存储器的研究受到限制,这是由于其尺寸可扩展性以及与互补金属氧化物半导体(CMOS)技术不兼容。萤石结构氧化物中铁电性的发现,通过微量掺杂和热处理在最先进的栅极绝缘体中引入纳米级非易失性,重新激发了人们对铁电存储器研究的兴趣。这种方法的潜力已通过制造小于30纳米的电子器件得到证明。尽管如此,要实现实际应用,各种技术限制,如包括耐久性、保持性和印记在内的可靠性不足,以及器件间的巨大差异,都需要迫切解决。此外,应根据目标器件和应用来考虑这些限制。对于经典的非易失性存储器以及新兴的神经形态计算和内存处理,应考虑各种类型的铁电存储器,包括铁电随机存取存储器、铁电场效应晶体管和铁电隧道结。因此,从材料科学的角度来看,本综述涵盖了最近的研究,重点是从传统方法的历史到未来前景的铁电存储器。