Neuromorphic computing requires electronic systems that can perform massively parallel
computational tasks with low energy consumption. Such systems have traditionally been …

Organic–inorganic hybrid lead halide perovskites (LHPs) have emerged as a promising
material to replace conventional semiconductors for different applications owing to their …

Structural, elastic, electronic, optical and thermoelectric properties of fluoroperovskites AGeF
3 (A= K, Rb, and Fr) have been investigated using Density Functional Theory (DFT) …

Halide perovskites are promising candidates for resistive memories (memristors) due to their
mixed electronic/ionic conductivity and the real activation mechanism is currently under …

The emergence of memristive devices plays a significant role to promoting the development
of electronics in the post-Moore era, especially in the fields of information storage, artificial …

Halide perovskites are promising for energy-efficient and reconfigurable artificial synapses
due to the unique charge transport characteristic, ie, ionic-electronic coupling. This work …

Memristive devices with both electrically and optically induced synaptic dynamic behaviors
will be crucial to the accomplishment of brain-inspired neuromorphic computing systems, in …

In the present work, poly (vinylidene fluoride-hexafluoropropylene): magnesium
trifluoromethanesulfonate (PVDF-HFP: MgTf) polymer electrolytic films with a porous …

Artificial synapses based on resistive switching have emerged as a promising avenue for
brain-inspired computing. Hybrid metal halide perovskites have provided the opportunity to …

Two-dimensional heterojunction materials show great potential for a wide range of
applications with their tunable properties, such as versatility and low-dimensional …