Luminescent perovskite quantum dots: Progress in fabrication, modelling and machine learning approaches for advanced photonic and quantum computing applications
Luminescent metal halide quantum dots (QDs), particularly perovskite quantum dots (PQDs), garnered remarkable attention for unique optical properties as well as critical use for advanced photonic and electronic devices. This comprehensive review explores the synthesis, properties, and applications o...
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| Published in: | Journal of luminescence Vol. 277; p. 120906 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
01-01-2025
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| Subjects: | |
| Online Access: | Get full text |
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| Summary: | Luminescent metal halide quantum dots (QDs), particularly perovskite quantum dots (PQDs), garnered remarkable attention for unique optical properties as well as critical use for advanced photonic and electronic devices. This comprehensive review explores the synthesis, properties, and applications of PQDs, with a focus on their role in luminescent metal halide QD devices. The review begins by discussing advanced synthesis techniques and surface engineering strategies for PQDs, highlighting recent developments in the field. Structural and optical characterization techniques are then examined, emphasizing the importance of understanding quantum confinement effects and emission mechanisms in PQDs. The review also includes a discussion on modelling and simulation, discussing computational methods for predicting and optimizing PQD properties. Experimental studies and device fabrication techniques are discussed in detail, showcasing the progress made in integrating PQDs into optoelectronic devices. Advanced applications of PQDs in light-emitting devices, solar cells, sensors, and photodetectors are explored, highlighting their potential for efficiency enhancements and novel functionalities. A detailed discussion on the emerging role of machine learning (ML) in PQD research, focusing on its applications in materials discovery and device optimization are also included. This review explores the potential of luminescent PQDs for quantum computing applications, focusing on their role as qubits, quantum gates, and quantum memory devices, emphasizing the latest advancements, challenges, and future prospects of integrating PQDs into quantum computing architectures. The review concludes with an overview of emerging trends and future directions in the field, emphasizing the need for continued research to unlock the full potential of PQDs in advanced photonic and electronic devices.
•Covers advanced synthesis, surface engineering, and characterization studies for PQDs, focusing recent advancements.•Includes modeling and simulation for optimizing PQD properties, along with experimental studies and device fabrication.•Explores PQD applications in LEDs, solar cells, sensors, and photodetectors for enhanced efficiency and functionality.•Offers insight into ML applications in PQD research and their potential roles in quantum computing. |
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| ISSN: | 0022-2313 |
| DOI: | 10.1016/j.jlumin.2024.120906 |