There has been considerable interest in the development of optoelectronic synaptic
transistors with synaptic functions and neural computations. These neuromorphic devices …

Current computing systems rely on Boolean logic and von Neumann architecture, where
computing cells are based on high-speed electron-conducting complementary metal-oxide …

Artificial synapses with ideal functionalities are essential in hardware neural networks to
allow for energy-efficient analog computing. Electrolyte-gated transistors (EGTs) are …

Amorphous indium–gallium–zinc oxide (IGZO)‐based optical synaptic transistor using
visible light as the signal that shows a clear difference between long‐term memory (LTM) …

High‐density bio‐electrolyte‐gated synaptic transistors (BEGTs) array are promising for
constructing neuromorphic computing architectures. Due to the bulk ion conductivity and the …

Electrolyte-gated transistors (EGTs) are promising candidates for artificial synaptic devices,
due to lower energy consumption by forming the electric double layer to modulate the …

A solution-based surface modification method is first proposed for improving electrical
performance of the ZnO transistors. The ZnO transistors are infiltrated for treatment in the …

Compute‐in‐memory (CIM) is a pioneering approach using parallel data processing to
eliminate traditional data transmission bottlenecks for faster, energy‐efficient data handling …