ArticleAdvanced materials (Deerfield Beach, Fla.)2025
Perovskite Microwires for Room Temperature Exciton-Polariton Neural Network.
Article in Advanced materials (Deerfield Beach, Fla.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Shaping perovskite materials into micro/nanostructures for photonics and optoelectronic applications.Chemical Society reviews · 2026Review
- Organic-Inorganic Metal Halide Perovskites: Toward Stability, Chirality, and AI-Guided Discovery.ACS central science · 2026Review
- Femto-joule threshold reconfigurable all-optical nonlinear activators for picosecond pulsed optical neural networks.Light, science & applications · 2026Article
- High-clockrate free-space optical in-memory computing.Light, science & applications · 2026Article
- Perovskite Microwires for Room Temperature Exciton-Polariton Neural Network.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Subnanosecond Electrical Control of Dipolariton-Based Optical Circuits with a Few Femtojoule per Bit Power Consumption.Nano letters · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Limitations of electronics have stimulated the search for novel unconventional computing platforms that enable energy-efficient and ultra-fast information processing. Among various systems, exciton-polaritons stand out as promising candidates for the realization of optical neuromorphic devices. This is due to their unique hybrid light-matter properties, resulting in strong optical nonlinearity and excellent transport capabilities. However, previous implementations of polariton neural networks are restricted to cryogenic temperatures, limiting their practical applications. In this work, using non-equilibrium Bose-Einstein condensation in a monocrystalline perovskite waveguide, the first room-temperature exciton-polariton neural network is demonstrated. Its performance is verified in various machine learning tasks, including binary classification, and object detection. The result is a crucial milestone in the development of practical applications of polariton neural networks and provides new perspectives for optical computing accelerators based on perovskites.
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Registered trials
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