TY - JOUR
T1 - Ferroelectric materials, devices, and chips technologies for advanced computing and memory applications
T2 - development and challenges
AU - Yu, Xiao
AU - Zhong, Ni
AU - Cheng, Yan
AU - Xin, Tianjiao
AU - Luo, Qing
AU - Gong, Tiancheng
AU - Chen, Jiezhi
AU - Wu, Jixuan
AU - Cheng, Ran
AU - Fu, Zhiyuan
AU - Tang, Kechao
AU - Luo, Jin
AU - Ren, Tianling
AU - Xue, Fei
AU - Chen, Lin
AU - Wang, Tianyu
AU - Li, Xueqing
AU - Li, Xiuyan
AU - Wang, Ping
AU - Wang, Xinqiang
AU - Sun, Jie
AU - Jiang, Anquan
AU - Du, Peiyuan
AU - Chen, Bing
AU - Jin, Chengji
AU - Chen, Jiajia
AU - Qian, Haoji
AU - Mao, Wei
AU - Zheng, Siying
AU - Liu, Huan
AU - Xu, Haiwen
AU - Liu, Can
AU - Shen, Zhihao
AU - Li, Xiaoxi
AU - Li, Bochang
AU - Luo, Zheng Dong
AU - Zhou, Jiuren
AU - Liu, Yan
AU - Hao, Yue
AU - Han, Genquan
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/6
Y1 - 2025/6
N2 - Hafnium (Hf) oxide-based ferroelectric materials have emerged as a transformative platform for next-generation non-volatile memory and advanced computing technologies. This review comprehensively examines the development, challenges, and applications of HfO2 ferroelectrics, emphasizing their CMOS compatibility, scalability, and robust polarization at nanoscale dimensions. Breakthroughs in doping strategies, stress engineering, and VO control have stabilized the metastable orthorhombic phase, enabling high-performance devices such as ferroelectric RAM (FeRAM), ferroelectric field-effect transistors (FeFETs), and ferroelectric tunnel junctions (FTJs). These devices offer ultrafast switching, low power consumption, and multi-level storage, driving innovations in neuromorphic computing, in-memory processing, and cryogenic systems; nonetheless, they face ongoing challenges in reliability, such as fatigue and imprint effects, and scalability at sub-5 nm technology nodes. Emerging frontiers, such as wurtzite-structured nitrides (e.g., AlScN) and antiferroelectric ZrO2-based systems, have garnered significant attention due to their exceptionally high remanent polarization and promising potential for enhanced endurance, respectively. Further addressing the reliability issues of these emerging ferroelectric materials and the challenges associated with large-scale integration processes through interdisciplinary efforts will unlock the full potential of ferroelectric technologies, positioning them as pivotal enablers of post-Moore computing architectures and sustainable AI-driven applications.
AB - Hafnium (Hf) oxide-based ferroelectric materials have emerged as a transformative platform for next-generation non-volatile memory and advanced computing technologies. This review comprehensively examines the development, challenges, and applications of HfO2 ferroelectrics, emphasizing their CMOS compatibility, scalability, and robust polarization at nanoscale dimensions. Breakthroughs in doping strategies, stress engineering, and VO control have stabilized the metastable orthorhombic phase, enabling high-performance devices such as ferroelectric RAM (FeRAM), ferroelectric field-effect transistors (FeFETs), and ferroelectric tunnel junctions (FTJs). These devices offer ultrafast switching, low power consumption, and multi-level storage, driving innovations in neuromorphic computing, in-memory processing, and cryogenic systems; nonetheless, they face ongoing challenges in reliability, such as fatigue and imprint effects, and scalability at sub-5 nm technology nodes. Emerging frontiers, such as wurtzite-structured nitrides (e.g., AlScN) and antiferroelectric ZrO2-based systems, have garnered significant attention due to their exceptionally high remanent polarization and promising potential for enhanced endurance, respectively. Further addressing the reliability issues of these emerging ferroelectric materials and the challenges associated with large-scale integration processes through interdisciplinary efforts will unlock the full potential of ferroelectric technologies, positioning them as pivotal enablers of post-Moore computing architectures and sustainable AI-driven applications.
KW - AlScN
KW - FeFET
KW - FeRAM
KW - HfO
KW - ZrO
KW - erroelectric
KW - wurtzite
KW - zirconium oxide
UR - https://www.scopus.com/pages/publications/105007093957
U2 - 10.1007/s11432-025-4432-x
DO - 10.1007/s11432-025-4432-x
M3 - 文献综述
AN - SCOPUS:105007093957
SN - 1674-733X
VL - 68
JO - Science China Information Sciences
JF - Science China Information Sciences
IS - 6
M1 - 160401
ER -