Sb接触MoS₂フラッシュメモリによるアナログインメモリ検索

The explosion of artificial intelligence and edge devices has exposed a critical bottleneck in traditional hardware: the slow data transfer between memory and processing. Content-addressable memories offer a promising solution by processing information directly within the memory, but existing implementations using static random-access memory and, more recently, those using emerging non-volatile memories are constrained by the performance of silicon transistors. Here we introduce an analogue content-addressable memory utilizing atomically thin two-dimensional MoS₂ flash memories with semimetal antimony contacts. Our device achieves a high read-out current (60 μA μm^-1) and large ON/OFF ratios (>10⁹) in two-dimensional flash memories. These breakthroughs have led to very low energy consumption (under 0.1 fJ per search per cell) and latency (36 ps) during analogue in-memory search operations within our 8 × 16 analogue content-addressable memory array, featuring 256 MoS₂ flash memory devices. We have also successfully demonstrated analogue Hamming distance computing for k-nearest neighbour classification, showcasing high accuracy, high energy efficiency and low latency for machine learning applications. This research highlights the transformative potential of two-dimensional materials in overcoming current hardware limitations, enabling more efficient and scalable computing solutions in intelligent edge devices.