Journal
ADVANCED FUNCTIONAL MATERIALS
Volume 32, Issue 14, Pages -Publisher
WILEY-V C H VERLAG GMBH
DOI: 10.1002/adfm.202110900
Keywords
2D; flexible memristors; metal phosphides; neuromorphic computing; topochemical synthesis
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Funding
- National Natural Science Foundation of China [61774057, 51702352, 21975280]
- Strategic Priority Research Program of the Chinese Academy of Sciences [XDB44000000]
- Youth Innovation Promotion Association Chinese Academy of Sciences [2020354]
- Guangdong Provincial Natural Science Foundation [2020A1515010380, 2019A1515110714]
- City University of Hong Kong Strategic Research Grant (SRG) [7005505]
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Metal phosphide nanoribbons are synthesized to construct flexible photoelectronic memristors, exhibiting outstanding nonvolatile memory properties. This demonstrates the potential of metal phosphides in memristors for future optoelectronic neuromorphic computing.
Metal phosphide nanoribbons are suitable building blocks for flexible photoelectronic microdevices due to the special electronic structure, large contact area, and excellent mechanical properties. In this work, single-crystal copper phosphide nanoribbons (Cu3P NRs) are prepared topochemically from crystalline red phosphorus nanoribbons (cRP NRs) to retain the cRP morphology. The Cu3P NRs are used to construct flexible photoelectronic memristors on the ITO/PEN substrate with the native oxidized shell of Cu3P NRs serving as the charge trapping layer to modulate the resistance switching characteristics. The Cu3P NRs-based memristors have outstanding nonvolatile memory properties in different mechanical bending states and different bending times. Optically and electrically modulated artificial synaptic functions are observed from the Cu3P NRs-based memristors and owing to the memory backtracking function, pattern recognition is achieved with the Ag/Cu3P/ITO artificial synapse array. The topochemical synthesis method constitutes a universal approach to produce nanostructured compounds with an unusual morphology and specific crystalline orientation. The results also reveal that metal phosphides are excellent materials in memristors for future optoelectronic neuromorphic computing.
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