Integrating molecular photoswitch memory with nanoscale optoelectronics for neuromorphic computing

被引:0
|
作者
Alcer, David [1 ]
Zaiats, Nelia [1 ]
Jensen, Thomas K. [1 ]
Philip, Abbey M. [2 ,3 ]
Gkanias, Evripidis [4 ]
Ceberg, Nils [5 ]
Das, Abhijit [1 ]
Flodgren, Vidar [1 ]
Heinze, Stanley [5 ]
Borgstroem, Magnus T. [1 ]
Webb, Barbara [4 ]
Laursen, Bo W. [2 ,3 ]
Mikkelsen, Anders [1 ]
机构
[1] Lund Univ, Dept Phys & NanoLund, Professorsgatan 1, S-22364 Lund, Sweden
[2] Univ Copenhagen, Nanosci Ctr, Univ Pk 5, DK-2100 Copenhagen, Denmark
[3] Univ Copenhagen, Dept Chem, Univ Pk 5, DK-2100 Copenhagen, Denmark
[4] Univ Edinburgh, Sch Informat, 10 Crichton St, Edinburgh EH8 9AB, Scotland
[5] Lund Univ, Dept Biol, Solvegatan 37, S-22362 Lund, Sweden
基金
瑞典研究理事会;
关键词
DYNAMICS; SURFACES; GROWTH; LIGHT; MODEL;
D O I
10.1038/s43246-024-00707-w
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Photonic solutions are potentially highly competitive for energy-efficient neuromorphic computing. However, a combination of specialized nanostructures is needed to implement all neuro-biological functionality. Here, we show that donor-acceptor Stenhouse adduct dyes integrated with III-V semiconductor nano-optoelectronics have combined excellent functionality for bio-inspired neural networks. The dye acts as synaptic weights in the optical interconnects, while the nano-optoelectronics provide neuron reception, interpretation and emission of light signals. These dyes can reversibly switch from absorbing to non-absorbing states, using specific wavelength ranges. Together, they show robust and predictable switching, low energy thermal reset and a memory dynamic range from days to sub-seconds that allows both short- and long-term memory operation at natural timescales. Furthermore, as the dyes do not need electrical connections, on-chip integration is simple. We illustrate the functionality using individual nanowire photodiodes as well as arrays. Based on the experimental performance metrics, our on-chip solution is capable of operating an anatomically validated model of the insect brain navigation complex.
引用
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页数:11
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