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Abstract
Among today’s nonvolatile memories, ferroelectric-based capacitors, tunnel junctions and field-effect transistors (FET) are already industrially integrated and/or intensively investigated to improve their performances. Concurrently, because of the tremendous development of artificial intelligence and big-data issues, there is an urgent need to realize high-density crossbar arrays, a prerequisite for the future of memories and emerging computing algorithms. Here, a two-terminal ferroelectric fin diode (FFD) in which a ferroelectric capacitor and a fin-like semiconductor channel are combined to share both top and bottom electrodes is designed. Such a device not only shows both digital and analog memory functionalities but is also robust and universal as it works using two very different ferroelectric materials. When compared to all current nonvolatile memories, it cumulatively demonstrates an endurance up to 1010 cycles, an ON/OFF ratio of ~102, a feature size of 30 nm, an operating energy of ~20 fJ and an operation speed of 100 ns. Beyond these superior performances, the simple two-terminal structure and their self-rectifying ratio of ~ 104 permit to consider them as new electronic building blocks for designing passive crossbar arrays which are crucial for the future in-memory computing.
Designing efficient high-density crossbar arrays are nowadays highly demanded for many artificial intelligence applications. Here, the authors propose a two-terminal ferroelectric fin diode non-volatile memory in which a ferroelectric capacitor and a fin-like semiconductor channel are combined to share both top and bottom electrodes with high performance and easy fabrication process
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1 East China Normal University, Key Laboratory of Polar Materials and Devices, Ministry of Education, Shanghai Center of Brain-inspired Intelligent Materials and Devices, Department of Electronics, Shanghai, China (GRID:grid.22069.3f) (ISNI:0000 0004 0369 6365); Zhejiang Lab, Hangzhou, China (GRID:grid.510538.a) (ISNI:0000 0004 8156 0818)
2 East China Normal University, Key Laboratory of Polar Materials and Devices, Ministry of Education, Shanghai Center of Brain-inspired Intelligent Materials and Devices, Department of Electronics, Shanghai, China (GRID:grid.22069.3f) (ISNI:0000 0004 0369 6365)
3 East China Normal University, Key Laboratory of Polar Materials and Devices, Ministry of Education, Shanghai Center of Brain-inspired Intelligent Materials and Devices, Department of Electronics, Shanghai, China (GRID:grid.22069.3f) (ISNI:0000 0004 0369 6365); Fudan University, Institute of Optoelectronics, Shanghai, China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443)
4 Central South University, Hunan Key Laboratory of Super Microstructure and Ultrafast Process, School of Physics and Electronics, Changsha, China (GRID:grid.216417.7) (ISNI:0000 0001 0379 7164)
5 Shanghai Jiao Tong University, National Engineering Laboratory of TFT-LCD Materials and Technologies, Department of Electronic Engineering, Shanghai, China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293)
6 Fudan University, Frontier Institute of Chip and System, Shanghai, China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443)
7 Fudan University, State Key Laboratory of ASIC & System, School of Microelectronics, Shanghai, China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443)
8 Université Paris-Saclay, CentraleSupélec, CNRS-UMR8580, Laboratoire SPMS, Gif-sur-Yvette, France (GRID:grid.494567.d) (ISNI:0000 0004 4907 1766)
9 East China Normal University, Key Laboratory of Polar Materials and Devices, Ministry of Education, Shanghai Center of Brain-inspired Intelligent Materials and Devices, Department of Electronics, Shanghai, China (GRID:grid.22069.3f) (ISNI:0000 0004 0369 6365); Shanxi University, Collaborative Innovation Center of Extreme Optics, Taiyuan, China (GRID:grid.163032.5) (ISNI:0000 0004 1760 2008)