ArticleScientific reports2025
Transparent conductive oxides as a material platform for a realization of all-optical photonic neural networks.
Article in Scientific reports, 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.
- Photonic-Enabled Energy-Efficient Transparent Neuromorphic Computing Devices: A Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
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Authors and funding
2 authors.
Funding
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Abstract
Photonics integrated circuits have an enormous potential to serve as a framework for a new class of information processing machines and can enable ultrafast artificial neural networks. They can overcome the existing speed and power limits of the electronic processing elements and provide additional benefits of photonics such as high-bandwidth, sub-nanosecond latencies and low-energy interconnect credentials leading to a new paradigm called neuromorphic photonics. The main obstacle to realizing such a task is a lack of proper material platform that imposes serious requirements on the architecture of the network. Here we suggest and justify that transparent conductive oxides can be an excellent candidate for such a task as they provide nonlinearity and bistability under both optical and electrical inputs.
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Registered trials
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