ArticleLight, science & applications2025
Nonlinear optoelectronic engine drives monolithic integrated photonic computing.
Article in Light, science & applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- LightIN: a versatile silicon-integrated photonic field programmable gate array with an intelligent configuration framework for next-generation AI clusters.Light, science & applications · 2026Article
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Authors and funding
2 authors.
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Abstract
The rapidly growing computational demands of artificial intelligence (AI) and complex optimization tasks are increasingly straining conventional electronic architectures, driving the search for novel, energy-efficient processing paradigms. Photonic computing, which harnesses the unique properties of light to perform computation, has emerged as a compelling alternative. This perspective highlights a key advancement: a versatile nonlinear optoelectronic engine based on integrated photodetectors and micro-ring modulators (PD + MRM). This engine enables crucial functionalities like nonlinear activation and signal relay, forming a core building block for monolithic photonic processors. Its application in integrating optical Ising machines for optimization and optical recurrent neural networks (RNNs) for AI has been examined recently. The PD + MRM unit's inherent compactness, efficiency, and on-chip reconfigurable nonlinearity address historical photonic computing challenges, signaling a shift towards more versatile and scalable monolithic photonic processors.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.