ArticleNature communications2024
Machine learning-guided realization of full-color high-quantum-yield carbon quantum dots.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
32 citing papers in PubMed.
- AHR-Responsive Carbon Dots Orchestrate Skin Wound Healing and Colonic Mucosal Repair via Treg-Mediated Macrophage Efferocytosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Carbon dots derived from natural medicines: Therapeutic advances and challenges.Journal of pharmaceutical analysis · 2026Review
- Ratiometric multisensing with heteroaggregates of aqueous carbon quantum dots and rare earth doped nanocrystals.Nanoscale advances · 2026Article
- Living Inorganic Nanomaterials: Design, Preparation, and Biomedical Applications.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Machine Learning-Guided Tailored Synthesis of Single Room-Temperature Phosphorescent Carbon Dots.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Chirality induced by supramolecular self-assembly of fluorinated π-conjugated carbon dots for bright circularly polarized electroluminescent light-emitting diodes.Nature communications · 2026Article
- Green Synthesis of Fluorescent Carbon Dots and AI-Driven New Paradigms: A Comprehensive Review.Biosensors · 2026Review
- Light-driven reforming of methane through photothermal catalysis.Nature reviews. Chemistry · 2026Review
- Machine-Learning-Assisted Carbon Dots: From Algorithms to Applications and Beyond.Molecules (Basel, Switzerland) · 2026Review
- Stable nitrogen-doped carbon quantum dots with pH-controlled fluorescence response for FeScientific reports · 2026Article
- Carbon dots as photosensitizers: unraveling their ultrafast charge transfer, challenges, and future prospects.Nanoscale advances · 2026Review
- Mango peels-assisted synthesis of carbon quantum dots for potential optical sensing of diazinon.Scientific reports · 2026Article
- Lignocellulosic Films: Preparation, Properties, and Applications.Chemical reviews · 2025Review
- Oxygen functionalization of carbon quantum dots enables efficient acidic hydrogen peroxide electrosynthesis.Nature communications · 2025Article
- Reproducibility roadblocks and standardization in carbon dot synthesis: a critical review of current practices, challenges, and future directions.Mikrochimica acta · 2025Review
- Infrared Photovoltaic-Battery Hybrid Systems Enabled by Colloidal Quantum Dots.Chemistry, an Asian journal · 2025Review
- Red Emissive Carbon Dots as Fluorescent Probe for Specific Sensing and Imaging of HCIO.Journal of fluorescence · 2025Article
- Targeting JAK2 with a multifunctional nanoinhibitor for long-lasting anti-inflammatory effects and bone repair.Journal of nanobiotechnology · 2025Article
- Bio-inspired ultrasonic microreactor for efficient synthesis of indigo-emitting carbon dots with tunable morphology and enhanced optical properties.Ultrasonics sonochemistry · 2025Article
- Machine Learning-Driven Design of Fluorescent Materials: Principles, Methodologies, and Future Directions.Nanomaterials (Basel, Switzerland) · 2025Review
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Carbon quantum dots (CQDs) have versatile applications in luminescence, whereas identifying optimal synthesis conditions has been challenging due to numerous synthesis parameters and multiple desired outcomes, creating an enormous search space. In this study, we present a novel multi-objective optimization strategy utilizing a machine learning (ML) algorithm to intelligently guide the hydrothermal synthesis of CQDs. Our closed-loop approach learns from limited and sparse data, greatly reducing the research cycle and surpassing traditional trial-and-error methods. Moreover, it also reveals the intricate links between synthesis parameters and target properties and unifies the objective function to optimize multiple desired properties like full-color photoluminescence (PL) wavelength and high PL quantum yields (PLQY). With only 63 experiments, we achieve the synthesis of full-color fluorescent CQDs with high PLQY exceeding 60% across all colors. Our study represents a significant advancement in ML-guided CQDs synthesis, setting the stage for developing new materials with multiple desired properties.
Identifiers
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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.