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To overcome the limitations of memristors in neuromorphic computation, memcapacitors are gaining attention owing to their scalability, low power dissipation, and sneak‐path‐free nature. This study focuses on the progressive capacitive switching of a bilayered metal‐oxide WOx/ZrOx heterojunction memcapacitor. To gain a better understanding of the interfacial switching behavior, density functional theory...
The constant drive to achieve higher performance in deep neural networks (DNNs) has led to the proliferation of very large models. Model training, however, requires intensive computation time and energy. Memristor‐based compute‐in‐memory (CIM) modules can perform vector‐matrix multiplication (VMM) in place and in parallel, and have shown great promises in DNN inference applications. However, CIM‐based...