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Programmable nonlinear optical neuromorphic computing with bare 2D material MoS2
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DOI：10.1038/s41467-024-54776-z.png)
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摘要
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Nonlinear optical responses in two-dimensional (2D) materials can build free-space optical neuromorphic computing systems. Ensuring the high performance and the tunability of the system is essential to encode diverse functions. However, common strategies, including the integration of external electrode arrays or photonic structures with 2D materials, and barely patterned 2D materials, exhibit a contradiction between performance and tunability. Because the unique band dispersions of 2D materials can provide hidden paths to boost nonlinear responses independently, here we introduced a new free-space optical computing concept within a bare molybdenum disulfide array. This system can preserve high modulation performance with fast speed, low energy consumption, and high signal-to-noise ratio. Due to the freedom from the restrictions of fixed photonic structures, the tunability is also enhanced through the synergistic encodings of the 2D cells and the excitation pulses. The computing mechanism of transition from two-photon absorption to synergistic excited states absorption intrinsically improved the modulation capability of nonlinear optical responses, revealed from the relative transmittance modulated by a pump-probe-control strategy. Optical artificial neural network (ANN) and digital processing were demonstrated, revealing the feasibility of the free-space optical computing based on bare 2D materials toward neuromorphic applications. Nonlinear optical effects in 2D materials can be used for neuromorphic computing systems. Here, the authors introduced free-space optical computing within a bare MoS2 array. Neural network and digital processing were demonstrated, showing fast speed, low energy consumption, and high signal-to-noise ratio.
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ARTIFICIAL-INTELLIGENCE
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期刊
IF:
15.7
论文数:
9.4W
被引数:
91.2W
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引用论文
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