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A materials-based mimic for the neural signals may Promoting the development of AI.

The multidisciplinary team, led by Texas A&M chemist Sarbajit Banerjee in collaboration with Texas A&M electrical and computer engineer R. Stanley Williams and additional colleagues across North America and abroad, has discovered a neuron-like electrical switching mechanism in the solid-state material β'-CuxV2O5 -- specifically, how it reversibly morphs between conducting and insulating behavior on command.

The team was able to clarify the underlying mechanism driving this behavior by taking a new look at β'-CuxV2O5, a remarkable chameleon-like material that changes with temperature or an applied electrical stimulus. In the process, they zeroed in on how copper ions move around inside the material and how this subtle dance in turn sloshes electrons around to transform it.

Their research revealed that the movement of copper ions is the linchpin of an electrical conductivity change which can be leveraged to create electrical spikes in the same way that neurons function in the cerebral nervous system -- a major step toward developing circuitry that functions like the human brain.



A materials-based mimic for the neural signals may promote the thinking of computers, what an interesting research. The journal Insight – Material Science, an open access, peer-reviewed international English periodical, also focuses on the latest developments in the field of materials science.

It publishes creative papers and reviews on the latest research progress in the fields of biomaterials, nanomaterials, material science foundation, material surface and interface, material experiment, metallic materials, inorganic materials, organic polymer material, etc.

It aims to provide an exchange platform for scientists, scholars and scientific researchers worldwide to spread, share and discuss problems and development in different directions related to the field of materials science.

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