Researchers from Queen Mary University of London and Paragraf Limited have demonstrated a significant step forward in the development of graphene-based memristors and unlocking their potential for use in future computing systems and artificial intelligence (AI).
This innovation, published in ACS Advanced Electronic Materials and featured on the cover of this month's issue, has been achieved at wafer scale. It begins to pave the way toward scalable production of graphene-based memristors, which are devices crucial for non-volatile memory and artificial neural networks (ANNs).
Memristors are recognized as potential game-changers in computing, offering the ability to perform analog computations, store data without power, and mimic the synaptic functions of the human brain.
The integration of graphene, a material just one atom thick with the highest electron mobility of any known substance, can enhance these devices dramatically, but has been notoriously difficult to incorporate into electronics in a scalable way until recently.
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