Journal
NATURE MATERIALS
Volume 21, Issue 8, Pages 917-+Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41563-022-01309-y
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Funding
- National Key R&D Programme of China [2017YFA0204902]
- National Natural Science Foundation of China [92061204, 21933012, 31871877, 21973079, 22032004, 21721001]
- Fundamental Research Funds for the Central Universities [20720200068]
- UK EPSRC [EP/M014452/1, EP/P027156/1, EP/N03337X/1]
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This study demonstrates low-power logic-in-memory operations based on single electric dipole flipping in a two-terminal single-metallofullerene device at room temperature, which shows promising applications in memory computing.
In-memory computing provides an opportunity to meet the growing demands of large data-driven applications such as machine learning, by colocating logic operations and data storage. Despite being regarded as the ultimate solution for high-density integration and low-power manipulation, the use of spin or electric dipole at the single-molecule level to realize in-memory logic functions has yet to be realized at room temperature, due to their random orientation. Here, we demonstrate logic-in-memory operations, based on single electric dipole flipping in a two-terminal single-metallofullerene (Sc2C2@C-s(hept)-C-88) device at room temperature. By applying a low voltage of +/- 0.8 V to the single-metallofullerene junction, we found that the digital information recorded among the different dipole states could be reversibly encoded in situ and stored. As a consequence, 14 types of Boolean logic operation were shown from a single-metallofullerene device. Density functional theory calculations reveal that the non-volatile memory behaviour comes from dipole reorientation of the [Sc2C2] group in the fullerene cage. This proof-of-concept represents a major step towards room-temperature electrically manipulated, low-power, two-terminal in-memory logic devices and a direction for in-memory computing using nanoelectronic devices. Single-molecule electronics provide the potential solution for high-density integration and low-power consumption in massive data-driven applications, but have yet to be explored. Here, the authors report low-power logic-in-memory operations, based on single electric dipole flipping in the two-terminal single-metallofullerene device at room temperature.
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