2021
DOI: 10.1002/cjoc.202000609
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Recent Advance in Carbon Dots: From Properties to Applications

Abstract: Carbon dots | Cancer | LEDs | Machine-learning-driven synthesis | Nucleic acidsAs a new type of nanomaterial, carbon dots (CDs) have been recognized as a versatile nanoplatform with enormous potential for biomedical and optoelectronic applications because of low cytotoxicity, photostability, biocompatibility and versatility in addition to their tunable photoluminescence. In this review, we aim at updating the latest research on preparation, optoelectronic and chemical properties of CDs as well as their biomedi… Show more

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Cited by 29 publications
(18 citation statements)
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“…Note that previous CD lasers are mostly based on a whispering gallery cavity or Fabry‐Perot long cavity owing to their ease of fabrication [15, 16] . However, it is difficult to precisely control the light field and to flexibly select the modes in these resonators [51] . In contrast, the planar microcavity structure is uniform and flat, which can effectively reduce incoherent scattering loss [52] .…”
Section: Resultsmentioning
confidence: 99%
“…Note that previous CD lasers are mostly based on a whispering gallery cavity or Fabry‐Perot long cavity owing to their ease of fabrication [15, 16] . However, it is difficult to precisely control the light field and to flexibly select the modes in these resonators [51] . In contrast, the planar microcavity structure is uniform and flat, which can effectively reduce incoherent scattering loss [52] .…”
Section: Resultsmentioning
confidence: 99%
“…[15,16] However,i ti s difficult to precisely control the light field and to flexibly select the modes in these resonators. [51] In contrast, the planar microcavity structure is uniform and flat, which can effectively reduce incoherent scattering loss. [52] Its optical feedback direction can also be consistent with the deviceslight output direction, which helps to enhance the interaction between the light field and the excitons in the light-emitting layer, thus improving light output efficiency.…”
Section: Methodsmentioning
confidence: 99%
“…Recently, machine-learning-based techniques have been used to further our knowledge base and understanding of CDs. More importantly, machine learning has been used to gain a further understanding and build experimental models using data and algorithms to correlate the structure–property relationship of CDs [ 139 ]. Thus, machine-learning-based techniques have been used to develop strategies that allow the synthesis of CDs with targeted optical properties [ 140 , 141 ], optimized quantum yields [ 142 ] and high selectivity in gas sensing [ 143 ].…”
Section: Mechanism Of Formation Of the Dimensional Carbon Allotropes ...mentioning
confidence: 99%