Nanograin network memory with reconfigurable percolation paths for synaptic interactions.

ABSTRACT: The development of memory devices with functions that simultaneously process and store data is required for efficient computation. To achieve this, artificial synaptic devices have been proposed because they can construct hybrid networks with biological neurons and perform neuromorphic computation. However, irreversible aging of these electrical devices causes unavoidable performance degradation. Although several photonic approaches to controlling currents have been suggested, suppression of current levels and switching of analog conductance in a simple photonic manner remain challenging. Here, we demonstrated a nanograin network memory using reconfigurable percolation paths in a single Si nanowire with solid core/porous shell and pure solid core segments. The electrical and photonic contr

SUBMITTER: Lee HC 

PROVIDER: S-EPMC10185519 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature