Advances of Emerging Memristors for In-Memory Computing Applications
Qingxin Chen, Lu Lin, Jialin Meng, Mingsheng Xu, Tianyu Wang
Abstract
The memristor, as an emerging nonvolatile device, has garnered considerable attention due to its low power consumption, high density, and multifunctionality. This review summarizes recent advances in the application of memristors for logic gates, with a focus on key breakthroughs and challenges in material design, device performance, and logic circuit implementation. It covers a variety of material systems including 2-dimensional materials, perovskite materials, and optoelectronic materials, as well as novel structures such as array architectures and wearable textile memristors, evaluating their suitability for achieving stable and efficient logic operations. In addition, the review provides a comparative analysis of different implementation strategies for basic logic, optoelectronic logic, and combinational logic, offering an in-depth discussion of their respective characteristics and advantages. This review also emphasizes the application prospects of memristor logic gates in reconfigurable computing, neuromorphic computing, and in-memory computing architectures, providing a theoretical foundation and practical support for the development of high-density integration and efficient memristor logic circuits.