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Could Graphene Memristors Tackle AI's Energy Use?
This review asks whether graphene-based nanosensors could enhance energy efficiency in AI by integrating memory and computation for advanced information processing.
Graphene is a material that has a one-atom layer of carbon atoms with a thickness of only 335 pm. It can be modified using oxidization and functionalization. For example, graphene gains properties ...
The study was conducted under the project New approaches to deciphering the structure and chemical properties of graphene oxide, supported by a grant from the Russian Science Foundation. Graphene ...
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