Achieving Entire Seven Fundamental Boolean Logic Operations in a Two-Terminal Li-Based Memristor
Conventional logic operations transmitting data between processing and the memory unit inevitably result in a “memory wall” and energy consumption dilemmas. The memristor provides an alternative solution at the device level by integrating logic operations and memory functions, however, a combination of multistage operations in memristors is required to achieve fundamental Boolean logic calculations, especially for XOR/XNOR. In this work, we implement the XOR/XNOR through leveraging bifunctional oxygen-containing Ti thin films as both current collectors and Li-reservoirs in a two-terminal Li-based memristor, i.e., ITO/Nb2O5/LiCoO2/Ti. When Li-ions are inserted into oxygen-containing Ti under reversed voltage and partially reduce the high-valence Ti, the subsequent postsynaptic current exceeds the threshold, thereby realizing the XOR/XNOR logic operations. Therefore, the entire seven fundamental Boolean logic operations can be achieved in an individual device, featuring biological-like synaptic plasticity without redundant circuit design. Through electrochemical modulation of pulse parameters, the artificial synapse demonstrates versatile types of short-term potentiation, encompassing pair-pulse facilitation, spike-voltage-dependent plasticity, and spike-rate-dependent-plasticity (SRDP). The SRDP displays properties analogous to a high-pass filter as discernible distinction of current response within and beyond the frequency of 1 Hz. Furthermore, the Physiological functions of Ebbinghaus’ memory curves and Pavlov’s classical conditioning experiment are emulated on this single memristor based on the principles of long-term potentiation.
Authors
- Jiacheng Hu (ORCID: https://orcid.org/0009-0008-2238-8081)
- Qingjiao Huang
- Wenshuai Feng
- Rui‐Tao Wen (ORCID: https://orcid.org/0000-0002-3153-1539)
- Peipei Shao
- Menghan Yin
Institutions
- Southern University of Science and Technology (CN)
Publication Details
- Journal
- ACS Applied Electronic Materials
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1021/acsaelm.4c01827
- Citations
- 4
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.83
Funders
- National Natural Science Foundation of China
- Guangdong Science and Technology Department
- Department of Education of Guangdong Province