AUTHOR=Kibebe Caxton Griffith , Liu Yue 

TITLE=LiNbO3-based memristors for neuromorphic computing applications: a review

JOURNAL=Frontiers in Electronic Materials

VOLUME=4

YEAR=2024

URL=https://www.frontiersin.org/journals/electronic-materials/articles/10.3389/femat.2024.1350447

DOI=10.3389/femat.2024.1350447

ISSN=2673-9895

ABSTRACT=<p>Neuromorphic computing is a promising paradigm for developing energy-efficient and high-performance artificial intelligence systems. The unique properties of lithium niobate-based (LiNbO<sub>3</sub>)-based memristors, such as low power consumption, non-volatility, and high-speed switching, make them ideal candidates for synaptic emulation in neuromorphic systems. This study investigates the potential of LiNbO<sub>3</sub>-based memristors to revolutionize neuromorphic computing by exploring their synaptic behavior and optimizing device parameters, as well as harnessing the potential of LiNbO<sub>3</sub>-based memristors to create efficient and high-performance neuromorphic computing systems. By realizing efficient and high-speed neural networks, this literature review aims to pave the way for innovative artificial intelligence systems capable of addressing complex real-world challenges. The results obtained from this investigation will be crucial for future researchers and engineers working on designing and implementing LiNbO<sub>3</sub>-based neuromorphic computing architectures.</p>