Mortise-tenon-shaped memristors for scientific computing.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 40305615.
- Also identified by DOI 10.1126/sciadv.adu3309 and PMC identifier 12042887.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
In-memory computing hardware based on memristors has emerged as a promising option for scientific computing due to its large-scale parallel data processing capability. However, the nonuniformity issue of the memristors renders the practical deployment of in-memory computing hardware complex, requiring peripheral circuits to ensure the accuracy of scientific computing, thereby resulting in increased power consumption. Here, we present a mortise-tenon-shaped (MTS) memristor with ultrahigh uniformity by introducing a mortise-shaped h-BN flake on the HfO<sub>2</sub> switching layer. The MTS memristor exhibits ultrasmall cycle-to-cycle (~2.5%) and device-to-device (~6.9%) variations compared to the HfO<sub>2</sub> memristor without the MTS structure. Furthermore, we use the MTS memristors to build a partial differential equation solver and demonstrate a convergence speed of solving the Poisson equation five times faster than the solver based on the traditional HfO<sub>2</sub> memristors. This work provides a promising approach for notably reducing the hardware resources required for fast and high-accuracy scientific computing.