Carbon Dots Based Photoinduced Reactions: Advances and Perspective

Advanced Science, Journal Year: 2023, Volume and Issue: 10(12)

Published: Feb. 3, 2023

Seeking clean energy as an alternative to traditional fossil fuels is the inevitable choice realize sustainable development of society. Photocatalytic technique considered a promising conversion approach store abundant solar into other wieldy carriers like chemical energy. Carbon dots, class fascinating carbon nanomaterials, have already become hotspots in numerous photoelectric researching fields and particularly drawn keen interests metal-free photocatalysts owing strong UV-vis optical absorption, tunable energy-level configuration, superior charge transfer ability, excellent physicochemical stability, facile fabrication, low toxicity, high solubility. In this review, classification, microstructures, general synthetic methods, photoelectrical properties dots are systematically summarized. addition, recent advances based photoinduced reactions including photodegradation, photocatalytic hydrogen generation, CO

Language: Английский

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Unveiling Unconventional Luminescence Behavior of Multicolor Carbon Dots Derived from Phenylenediamine

The Journal of Physical Chemistry Letters, Journal Year: 2023, Volume and Issue: 14(26), P. 5975 - 5984

Published: June 22, 2023

Fluorescence regulation of carbon dots (CDs) during their preparation has become a hot research topic. In this work, multicolor fluorescent CDs with unconventional luminescence behavior are prepared by using o-, m-, or p-phenylenediamine (o-PD, m-PD, p-PD, respectively) and 2,3-dihydroxynaphthalene rich hydroxyl groups as reaction precursors. Tunable bright blue, yellow, red colors can be obtained solvothermal method under the joint action ethanol hydrochloric acid. The fluorescence emission synthesized follows rule o-PD to m-PD p-PD from blue red, which is contrary most previously reported results (the following an order p-PD). Our reveal that differences in polymerization, surface states, functional groups, graphite N content might main reasons for behavior. addition, these have good applications fields light-emitting diode lighting anticounterfeiting.

Language: Английский

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Exploiting machine learning for controlled synthesis of carbon dots-based corrosion inhibitors

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 419, P. 138210 - 138210

Published: July 22, 2023

Language: Английский

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Machine learning-guided realization of full-color high-quantum-yield carbon quantum dots

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: June 6, 2024

Abstract Carbon quantum dots (CQDs) have versatile applications in luminescence, whereas identifying optimal synthesis conditions has been challenging due to numerous parameters and multiple desired outcomes, creating an enormous search space. In this study, we present a novel multi-objective optimization strategy utilizing machine learning (ML) algorithm intelligently guide the hydrothermal of CQDs. Our closed-loop approach learns from limited sparse data, greatly reducing research cycle surpassing traditional trial-and-error methods. Moreover, it also reveals intricate links between target properties unifies objective function optimize like full-color photoluminescence (PL) wavelength high PL yields (PLQY). With only 63 experiments, achieve fluorescent CQDs with PLQY exceeding 60% across all colors. study represents significant advancement ML-guided synthesis, setting stage for developing new materials properties.

Language: Английский

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Machine learning applications in nanomaterials: Recent advances and future perspectives

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: unknown, P. 156687 - 156687

Published: Oct. 1, 2024

Language: Английский

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Multicolor luminescence of carbon Dots: From mechanisms to applications

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 496, P. 153761 - 153761

Published: July 5, 2024

Language: Английский

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Precursor Symmetry Triggered Modulation of Fluorescence Quantum Yield in Graphene Quantum Dots

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: 34(36)

Published: March 18, 2024

Abstract Although various effective machine‐learning attempts have been made to investigate the photoluminescence properties of graphene quantum dots (GQDs) or carbon dots, physical correlation behind their mathematical models has not reasonably elucidated. In this work, mechanism between precursor structure and yield GQDs prepared by a “bottom‐up” method is sufficiently studied. Three decisive factors affecting during two‐component reaction system preparation are revealed, namely factor (F1), temperature (F2), concentration (F3). The symmetry precursors in formation sp 2 – 3 hybrid nanostructures considered key modulation fluorescence GQDs. Notably, contrast previous it first demonstrated that normal modes molecular vibration core which structural act on conclusion further proved conducive obtaining with higher absolute up 83.33%.

Language: Английский

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Carbon Nanodots Memristor: An Emerging Candidate toward Artificial Biosynapse and Human Sensory Perception System

Advanced Science, Journal Year: 2023, Volume and Issue: 10(16)

Published: April 18, 2023

In the era of big data and artificial intelligence (AI), advanced storage processing technologies are in urgent demand. The innovative neuromorphic algorithm hardware based on memristor devices hold a promise to break von Neumann bottleneck. recent years, carbon nanodots (CDs) have emerged as new class nano-carbon materials, which attracted widespread attention applications chemical sensors, bioimaging, memristors. focus this review is summarize main advances CDs-based memristors, their state-of-the-art synapses, computing, human sensory perception systems. first step systematically introduce synthetic methods CDs derivatives, providing instructive guidance prepare high-quality with desired properties. Then, structure-property relationship resistive switching mechanism memristors discussed depth. current challenges prospects memristor-based synapses computing also presented. Moreover, outlines some promising application scenarios including sensors vision, low-energy quantum computation, human-machine collaboration.

Language: Английский

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Machine learning in analytical chemistry: From synthesis of nanostructures to their applications in luminescence sensing

TrAC Trends in Analytical Chemistry, Journal Year: 2023, Volume and Issue: 167, P. 117216 - 117216

Published: Aug. 3, 2023

Language: Английский

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Optical Properties Prediction for Red and Near‐Infrared Emitting Carbon Dots Using Machine Learning

Small, Journal Year: 2024, Volume and Issue: 20(29)

Published: Feb. 11, 2024

Functional nanostructures build up a basis for the future materials and devices, providing wide variety of functionalities, possibility designing bio-compatible nanoprobes, etc. However, development new nanostructured via trial-and-error approach is obviously limited by laborious efforts on their syntheses, cost manpower. This one reasons an increasing interest in design novel with required properties assisted machine learning approaches. Here, dataset synthetic parameters optical important class light-emitting nanomaterials - carbon dots are collected, processed, analyzed transitions red near-infrared spectral ranges. A model prediction characteristics these based multiple linear regression established verified comparison predicted experimentally observed synthesized three different laboratories. Based analysis, open-source code provided to be used researchers procedures.

Language: Английский

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