ArticleNature communications2025
Low-temperature molten-salt enabled synthesis of highly-efficient solid-state emitting carbon dots optimized using machine learning.
Article in Nature communications, 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.
- Uncovering Aggregation-Induced Emission in Carbon Dots for Color-Changing Hydrogels and Information Encryption.Angewandte Chemie (International ed. in English) · 2026Article
- Frequency resonance amplification in ultrasound-induced long-lasting afterglow.Nature communications · 2026Article
- Machine Learning-Guided Tailored Synthesis of Single Room-Temperature Phosphorescent Carbon Dots.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Sustainable Upcycling of Spent LiCoOSmall methods · 2026Article
- Preparation of solid-state emissive carbon quantum dots and their integration into electroluminescent light-emitting diodes.Nature protocols · 2026Review
- Harnessing N─H···O═V Bonding Toward Stable Vanadium Cathodes in Ah-Level Zn-Ion Batteries.Advanced materials (Deerfield Beach, Fla.) · 2026Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Fluorescent carbon dots (CDs) have garnered significant attention for their unique optoelectronic properties and applications, but their practical employment is hampered by the excessive synthesis temperature, tedious post-processing and limited solid-state luminescence efficiency. Herein, we develop a facile molten salt method to achieve the one-step synthesis of full-color CDs with efficient solid-state emission. Comprehensively, kilogram-scale solid-state CDs with a quantum yield of 90% can be readily synthesized via a salt-assisted approach under mild conditions (100-142 °C) within 10 min. The spectral characterization and density functional theory calculation confirm that zinc ion coordination can occur in liquated environment, which facilitates the polymerization of precursors at lower temperatures, suppresses the formation of non-radiative recombination channels on their surface, and further enhances luminescence in solid. The machine learning is further used to optimize CDs' luminous efficiency up to 99.86%, evoking excellent performance CDs-based light-emitting diodes with a maximum luminous efficiency of 272.65 lm W
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Registered trials
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