Presentation: 2025 ND EPSCoR Annual conference 

October 21, 2025, NDSU Memorial Union, Fargo, North Dakota

Emerging Ferroelectric FET-Based Storage and Logic Design

Emerging applications such as artificial intelligence (AI) and big data analysis require increasingly powerful computing systems, which necessitate dense secured memory and efficient computational resources. However, traditional CMOS (complementary metal-oxide-semiconductor) technology has reached its minimum scaling limits and faces fundamental performance constraints, restricting its ability to meet the growing demands of next-generation applications. To address these challenges, our research investigates new approaches for improving the efficiency of computation and memory operations by leveraging ferroelectric field-effect transistors (FeFETs). FeFETs are novel devices capable of handling both logic and memory operation within a single component. By combining these traditionally separate functions, FeFET-based designs significantly reduce the number of devices required, minimize energy consumption, and enable more compact hardware architectures. To showcase the viability of this approach, we redesign memory and functional modules (e.g., multiplexers) using FeFETs. These newly developed modules achieve equivalent functionality using less physical area and offer added features beyond conventional designs. This development leads to a set of logic and memory components better suited to support the high computational demands of advanced data-intensive applications. By introducing these innovative building blocks, our work advances the development of computing systems that realize dense memory and efficient computation, effectively addressing the growing demands of emerging data-driven applications and paving the way for scalable hardware solutions beyond the conventional CMOS era.