Van Der Waals Spintronics Toward Neuromorphic Computing

Abstract

Neuromorphic computing, with its potential for non‑volatile operation and high energy efficiency, is emerging as a compelling solution to the rapidly increasing data‑processing demands of artificial intelligence and the Internet of Things. Among candidate technologies for neuromorphic hardware, spintronics is a promising approach that exploits the spin degree of freedom for low energy consumption, high‑speed operation, and high endurance. Van der Waals (vdW) spintronic systems further amplify these advantages through atomically sharp interfaces, strong proximity effects, and the unique ability to integrate disparate materials into heterostructures. This review surveys recent advances in vdW spintronics toward neuromorphic computing. Starting from two‑dimensional magnetic material systems, we classify representative devices according to their information carriers, namely magnetically ordered states and topological spin textures, and summarize their device architectures and operating mechanisms. We further review prototype applications of spintronics for in‑memory and in‑sensor computing, highlighting the potential of vdW spintronics as a platform for neuromorphic computing.