Mirzanezhad, H. (EE) – Van der Waals materials-based memory devices for neuromorphic computing
The separation of memory and processing in conventional computer architectures leads to significant energy consumption associated with data transfer, known as the von Neumann bottleneck. Two-dimensional (2D) materials provide a promising platform for developing nanoscale memory devices for in-memory and neuromorphic computing because of their atomic-scale thickness, lack of dangling bonds, and ability to form […]