Lee Soo Hyung, Cheong Sunwoo, Cho Jea Min, Ghenzi Néstor, Shin Dong Hoon, Jang Yoon Ho, Han Janguk, Park Tae Won, Kim Dong Yun, Shim Sung Keun, Han Joon-Kyu, Kim Seung Soo, Hwang Cheol Seong
Department of Materials Science and Engineering and Inter-University Semiconductor Research Center, College of Engineering, Seoul National University, Seoul, 08826, Republic of Korea.
System Semiconductor Engineering and Department of Electronic Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul, 04107, Republic of Korea.
Adv Mater. 2024 Oct;36(40):e2410191. doi: 10.1002/adma.202410191. Epub 2024 Aug 28.
Due to its area and energy efficiency, a memristive crossbar array (CBA) has been extensively studied for various combinatorial optimization applications, from network problems to circuit design. However, conventional approaches include heavily burdening software fine-tuning for the annealing process. Instead, this study introduces the "in-materia annealing" method, where the inter-layer interference of vertically stacked memristive CBA is utilized as an annealing method. When mapping combinatorial optimization problems into the configuration layer of the CBA, exponentially decaying annealing profiles are generated in nearby noise layers. Moreover, in-materia annealing profiles can be controlled by changing compliance current, read voltage, and read pulse width. Therefore, the annealing profiles can be arbitrarily controlled and generated individually for each cell, providing rich noise sources to solve the problem efficiently. Consequently, the experimental and simulation of Max-Cut and weighted Max-Cut problems achieve notable results with the minimum software burden.
由于其面积和能源效率，忆阻交叉开关阵列（CBA）已被广泛研究用于各种组合优化应用，从网络问题到电路设计。然而，传统方法包括对退火过程进行繁重的软件微调。相反，本研究引入了“材料内退火”方法，其中利用垂直堆叠的忆阻CBA的层间干扰作为退火方法。当将组合优化问题映射到CBA的配置层时，在附近的噪声层中会生成指数衰减的退火曲线。此外，材料内退火曲线可以通过改变顺从电流、读取电压和读取脉冲宽度来控制。因此，退火曲线可以针对每个单元进行任意控制和单独生成，提供丰富的噪声源以有效地解决问题。结果，最大割和加权最大割问题的实验和模拟在最小软件负担的情况下取得了显著成果。
