Here a precise control of isolated single-atom ruthenium (RuSA) sites supported on Nitrogen (N)-Doped Ti3C2Tx MXene (N-Ti3C2Tx) through a coordination-assisted strategy was reported. The catalyst displays superior activity toward the...
Artificial synapses (ASs) are electronic devices emulating important functions of biological synapses, which are essential building blocks of artificial neuromorphic networks for brain‐inspired computing. A human brain consists of several quadrillion synapses for information storage and processing, and massively parallel computation. Neuromorphic systems require ASs to mimic biological synaptic functions, such as paired‐pulse facilitation, short‐term potentiation, long‐term potentiation, spatiotemporally‐correlated signal processing, and spike‐timing‐dependent plasticity, etc. Feature size and energy consumption of ASs need to be minimized for high‐density energy‐efficient integration. This work reviews recent progress on ASs. First, synaptic plasticity and functional emulation are introduced, and then synaptic electronic devices for neuromorphic computing systems are discussed. Recent advances in flexible artificial synapses for artificial sensory nerves are also briefly introduced. Finally, challenges and opportunities in the field are discussed.
Flexible transistor‐structured memory (FTSM) has attracted great attention for its important role in flexible electronics. For nonvolatile information storage, FTSMs with floating‐gate, charge‐trap, and ferroelectric mechanisms have been developed. By introducing an optical sensory module, FTSM can be operated by optical inputs to function as an optical memory transistor. As a special type of FTSM, transistor‐structured artificial synapse emulates important functions of a biological synapse to mimic brain‐inspired memory behaviors and nervous signal transmissions. This work reviews the recent development of the above mentioned FTSMs, with a focus on working mechanism and materials, and flexibility.
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