Journal
ACS APPLIED ELECTRONIC MATERIALS
Volume 2, Issue 12, Pages 4023-4033Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acsaelm.0c00832
Keywords
ferroelectrics; hafnium zirconium oxide; ferroelectric tunnel junction; neuromorphic computing; synapse; STDP
Funding
- Free State of Saxony, Germany
- European Union's Horizon 2020 research and innovation programme [871737]
Ask authors/readers for more resources
Ferroelectric tunnel junctions (FTJ) based on hafnium zirconium oxide (Hf1-xZrxO2 ; HZO) are a promising candidate for future applications, such as low-power memories and neuromorphic computing. The tunneling electroresistance (TER) is tunable through the polarization state of the HZO film. To circumvent the challenge of fabricating thin ferroelectric HZO layers in the tunneling range of 1-3 nm range, a ferroelectric/dielectric double layer sandwiched between two symmetric metal electrodes is used. Because of the decoupling of the ferroelectric polarization storage layer and a dielectric tunneling layer with a higher bandgap, a significant TER ratio between the two polarization states is obtained. By exploiting previously reported switching behavior and the gradual tunability of the resistance, FTJs can be used as potential candidates for the emulation of synapses for neuromorphic computing in spiking neural networks. The implementation of two major components of a synapse are shown: long-term depression/potentiation by varying the amplitude/width/number of voltage pulses applied to the artificial FTJ synapse and spike-timing-dependent plasticity curves by applying time-delayed voltages at each electrode. These experimental findings show the potential of spiking neural networks and neuromorphic computing that can be implemented with hafnia-based FTJs.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available