Neuromorphic computing has been attracting ever‐increasing attention due to superior
energy efficiency, with great promise to promote the next wave of artificial general …

Recent breakthroughs in brain-inspired computing promise to address a wide range of
problems from security to healthcare. However, the current strategy of implementing artificial …

Reconfigurable field-effect transistors (FETs) combine unipolar n-and p-type characteristics
in a single programmable device and could be used to reduce the complexity of electronic …

Emerging reconfigurable devices are fast gaining popularity in the search for next-
generation computing hardware, while ferroelectric engineering of the do** state in …

Abstract Two-dimensional (2D) materials have been considered promising candidates for
future low power-dissipation and reconfigurable integrated circuit applications. However, 2D …

Two-dimensional reconfigurable field-effect transistors (FETs) are promising candidates for
next-generation computing hardware. However, exploring the cascade design of FETs for …

Optoelectronic synapses possess the potential to seamlessly integrate perception, storage,
and neuromorphic computation, thereby offering advantages in constructing artificial vision …

Vertical stacking of different two-dimensional (2D) materials into van der Waals
heterostructures exploits the properties of individual materials as well as their interlayer …

Spiking neural network (SNN), widely known as the third-generation neural network, has
been frequently investigated due to its excellent spatiotemporal information processing …

Abstract Two-dimensional (2D) transition metal dichalcogenides (TMDs) allow for atomic-
scale manipulation, challenging the conventional limitations of semiconductor materials …