Demonstrates effective neuromorphic computing with low-temperature FeFETs, suggesting energy-efficient advancements.
Owing to the physical and economic limitations of conventional scaling, monolithic three-dimensional (M3D) integration offers a promising route to enhance device density and performance. Integrating ferroelectric-gate field-effect transistors (FeFETs) into M3D architectures is challenging because dopant activation and ferroelectric crystallization usually require high temperatures that degrade bottom-tier devices. We propose a low-temperature M3D-compatible FeFET fabrication scheme employing a metal–ferroelectric–metal–interlayer–poly-Si stack. Laser annealing crystallizes the poly-Si channel, and microwave annealing (MWA) induces the ferroelectric orthorhombic phase in HfZrO x (HZO) while keeping the thermal budget below 400 °C. MWA enhances polarization, widens the memory window, and improves fatigue endurance and interface quality compared with rapid thermal annealing. Although MWA-treated FeFETs exhibit slightly slower switching, synaptic arrays show reliable multilevel conductance modulation and achieve >90% training accuracy on CIFAR-10 using a vision-transformer-based neuromorphic system, demonstrating a promising low-thermal-budget path for energy-efficient M3D neuromorphic computing.
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Kim et al. (2026) studied this question.
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