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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F24%3A10254764" target="_blank" >RIV/61989100:27740/24:10254764 - isvavai.cz</a>

Alternative codes found

RIV/61989592:15640/24:73625172

Result on the web

<a href="https://onlinelibrary.wiley.com/doi/10.1002/smll.202310402" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1002/smll.202310402</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/smll.202310402" target="_blank" >10.1002/smll.202310402</a>

Result language

angličtina

Original language name

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

Original language description

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

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10400 - Chemical sciences

Project

—

Continuities

O - Projekt operacniho programu

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Small

ISSN

1613-6810

e-ISSN

1613-6829

Volume of the periodical

20

Issue of the periodical within the volume

29

Country of publishing house

DE - GERMANY

Number of pages

8

Pages from-to

—

UT code for WoS article

001159925500001

EID of the result in the Scopus database

2-s2.0-85184488822