A High-Density RRAM Memory Architecture with IO-Assisted-Core-Transistor 1T1R Array and Two-Level Encoding for Edge AI Models
Shengzhe Yan(Chinese Academy of Sciences), Jinshan Yue(Chinese Academy of Sciences), Zeyu GUO(Chinese Academy of Sciences), Chunmeng Dou(Chinese Academy of Sciences), Zhihang Qian(Chinese Academy of Sciences), Linfang Wang(Chinese Academy of Sciences), Xiaoxin Xu(Chinese Academy of Sciences), Bing Li(Chinese Academy of Sciences), Feng Zhang(Chinese Academy of Sciences), Zhi Li(Chinese Academy of Sciences), Xiangqu Fu(Chinese Academy of Sciences), Jun Wang(Chinese Academy of Sciences), Zhicheng Wu(State Key Laboratory of Electrical Insulation and Power Equipment)
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
January 1, 2026
Cited by 0
Related Papers
Conducting Polymer Nanostructures: Template Synthesis and Applications in Energy Storage
|International Journal of Molecular Sciences|2010|348
CMOS-integrated memristive non-volatile computing-in-memory for AI edge processors
|Nature Electronics|2019|271
Formation of multiple conductive filaments in the Cu/ZrO2:Cu/Pt device
|Applied Physics Letters|2009|118
Hybrid memristor-CMOS neurons for in-situ learning in fully hardware memristive spiking neural networks
|中国科学通报：英文版|2021|102
Effect of Dielectric Relaxation of Epoxy Resin on Dielectric Loss of Medium-Frequency Transformer
|IEEE Transactions on Dielectrics and Electrical Insulation|2022|93