Recently, the growing demand for a renewable and sustainable fuel alternative is contingent
on fuel cell technologies. Even though it is regarded as an environmentally sustainable …

Brain-like computing is an important direction for the development of integrated circuits in
the post-Moore era, and the development of artificial synaptic devices that can simulate ideal …

Artificial intelligence has made people's demands for computer computing efficiency
increasingly high. The traditional hardware circuit simulation method for neural morphology …

Brain‐inspired neuromorphic computing has drawn significant attraction as a promising
technology beyond von Neumann architecture by using the parallel structure of synapses …

Neuromorphic computing, which mimics brain function, can address the shortcomings of the
“von Neumann” system and is one of the critical components of next-generation computing …

Recently, neuromorphic computing has been proposed to overcome the drawbacks of the
current von Neumann computing architecture. Especially, spiking neural network (SNN) has …

Using light signals for computation and communication is a vital approach for advanced
neuromorphic designs. In this study, an all‐optical‐controlled IGZO/ZrOx phototransistor is …

Traditional gas sensors require an external voltage to provide a readout signal for
measuring the resistance/current changes. To reduce the power consumption and working …

We present comprehensive studies on ZnON thin films deposited by radio-frequency (RF)
magnetron sputtering using a ZnO target under various nitrogen plasma conditions. A ZnON …

Oxygen vacancies are a major factor that controls the electrical characteristics of the
amorphous indium-gallium-zinc oxide transistor (a-IGZO TFT). Oxygen vacancies are …