2023
DOI: 10.1002/adma.202304390
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All‐Optical Data Processing with Photon‐Avalanching Nanocrystalline Photonic Synapse

Abstract: Data processing and storage in electronic devices are typically performed as a sequence of elementary binary operations. Alternative approaches, such as neuromorphic or reservoir computing, are rapidly gaining interest where data processing is relatively slow, but can be performed in a more comprehensive way or massively in parallel, like in neuronal circuits. Here we discover time‐domain all‐optical information processing capabilities of photon avalanching (PA) nanoparticles at room temperature. Demonstrated … Show more

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Cited by 3 publications
(3 citation statements)
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“…Figure illustrates that the response to the Write burst with N = 40 consists of 40 overlapping PL decays with a progressive increase in their initial PL amplitude after each excitation pulse with a slight decay between the pulses. This process is a consequence of a single-pulse change in the state vector X ⃗ of the sample, demonstrating the so-called potentiation behavior identified for neurons and electrical and optical memory devices. , …”
mentioning
confidence: 89%
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“…Figure illustrates that the response to the Write burst with N = 40 consists of 40 overlapping PL decays with a progressive increase in their initial PL amplitude after each excitation pulse with a slight decay between the pulses. This process is a consequence of a single-pulse change in the state vector X ⃗ of the sample, demonstrating the so-called potentiation behavior identified for neurons and electrical and optical memory devices. , …”
mentioning
confidence: 89%
“…As an example, the photonics community has adopted the memristive paradigm for the conception of electro-optical and all-optically driven memories. These efforts are motivated by the advantages and new opportunities for the devices operating in the presence of light, such as massive frequency-multiplexing and spatial parallelism supported by generous nonlinear dynamics present in optical systems. Importantly, optical-based memristors can operate at the single-photon level, opening the route toward room-temperature photonic quantum memristors . Despite most of the photonic memristors relying on hybrid electro-optical signal input, , thus inheriting some of the disadvantages of the classical electrically driven memristors, some reports demonstrated neuron-like features in all-optical memory devices. …”
mentioning
confidence: 99%
“…To more efficiently design UCNPs for targeted applications, we looked toward machine learning (ML) approaches, which have emerged as powerful tools for accelerating the design of other complex materials and nanostructures. Although ML has been used to analyze spectroscopic data , and images , from UCNP experiments, it has not yet been applied to the discovery or recommendation of new UCNP structures. One promising ML approach, Bayesian optimization (BO), , has been used for the experimental design of nanoparticles, photocatalysts, phase-change materials, and alloys, and for the acceleration of microscopy .…”
mentioning
confidence: 99%