We work in the area of computational nanoelectronics. Expertise in the microscopic simulation of non-equilibrium phenomena will play a crucial role not only in the research and design of emerging electronic and spintronic devices but also in diverse areas such as biological systems. Our simulations address a large class of problems encompassing electron, spin, and…
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Spintronic-based neuromorphic hardware offers high density and rapid data processing at nanoscale lengths by leveraging magnetic configurations like skyrmion and domain walls. Here, we present the maximal hardware implementation of a convolutional neural network (CNN) based on a compact multi-bit skyrmion-based synapse and a hybrid CMOS domain wall-based circuit for activation and max-pooling functionalities. We…
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