The Compact Models for Circuit Design course at the Hong Kong University of Science and Technology (HKUST) focuses on developing and applying compact models for spintronic devices, particularly Magnetic Tunnel Junctions (MTJs), in circuit design. These models are crucial for simulating and designing circuits that incorporate emerging technologies like spintronics.
The course emphasizes the role of MTJs in stochastic computing, leveraging their inherent random telegraph noise (RTN) properties. By modeling these devices accurately, students can explore applications in areas such as artificial intelligence and in-memory computing. The curriculum includes both theoretical foundations and practical simulations, preparing students to integrate spintronic devices into advanced circuit designs