Computational insights into carbon dots: Evolution of structural models and structure–activity relationships

X Zhao, J Wei, T Song, Z Wang, D Yang… - Chemical Engineering …, 2024 - Elsevier
As researchers have gained a deeper insight into the properties of carbon dots (CDs), their
applications gradually spanned from fluorescent probing and bio-imaging to energy storage …

Automated synthesis and processing of functional nanomaterials: Advances and perspectives

M Negahdary, S Mabbott - Coordination Chemistry Reviews, 2025 - Elsevier
Integration of nanotechnology and information technology has seen an enormous leap in
growth with the invention of automated systems capable of synthesizing and processing …

Expanding the horizons of machine learning in nanomaterials to chiral nanostructures

V Kuznetsova, Á Coogan, D Botov… - Advanced …, 2024 - Wiley Online Library
Abstract Machine learning holds significant research potential in the field of nanotechnology,
enabling nanomaterial structure and property predictions, facilitating materials design and …

Machine learning-based screening for potential singlet fission chromophores: The challenge of imbalanced data sets

L Borislavov, M Nedyalkova, A Tadjer… - The Journal of …, 2023 - ACS Publications
Excitation with one photon of a singlet fission (SF) material generates two triplet excitons,
thus doubling the solar cell efficiency. Therefore, the SF molecules are regarded as new …

Exploring quantum confinement signature in nitrogen-functionalized graphene quantum dots: Effective mass approximation (EMA) model insights from computational …

FA Permatasari, R Umami, TR Mayangsari… - Materials Science in …, 2024 - Elsevier
A well-established relationship between bandgap energy and Quantum Dots (QDs)
dimension, predicted by Effective Mass Approximation (EMA) models, is a cost-effective and …

Design and performance analysis of multi-enzyme activity-doped nanozymes assisted by machine learning

F Ge, Y Gao, Y Jiang, Y Yu, Q Bai, Y Liu, HB Li… - Colloids and Surfaces B …, 2025 - Elsevier
Traditional design approaches for nanozymes typically rely on empirical methods and trial-
and-error, which hampers systematic optimization of their structure and performance, thus …

Ultraviolet photoluminescent materials from traditional ion-activated phosphors to emerging carbon dots and perovskites

M Deng, Y Liang, Y Shi, J Wang, J Chen… - Materials Science and …, 2024 - Elsevier
Abstract Since Niels Ryberg Finsen won the Nobel Prize 120 years ago for his invention of
ultraviolet (UV)-based phototherapy for skin tuberculosis (lupus vulgaris), UV has made …

Machine Learning-Guided Synthesis of Room-Temperature Phosphorescent Carbon Dots for Enhanced Phosphorescence Lifetime and Information Encryption

DAM Muyassiroh, FA Permatasari… - ACS Applied Nano …, 2024 - ACS Publications
Room-temperature phosphorescent (RTP) carbon dots (CDs) have been increasingly used
in many applications, including anticounterfeiting and information encryption. However …

Synthesis of carbon dots with predictable photoluminescence by the aid of machine learning

C Xing, G Chen, X Zhu, J An, J Bao, X Wang, X Zhou… - Nano Research, 2024 - Springer
Carbon dots (CDs) have wide application potentials in optoelectronic devices, biology,
medicine, chemical sensors, and quantum techniques due to their excellent fluorescent …

Carbon dots: A review of innovations, applications, challenges, and future prospects

S Sen, A Bose - Inorganic Chemistry Communications, 2025 - Elsevier
Carbon dots (CDs) are a noteworthy class of carbon-based nanomaterials demonstrating
diverse applications across scientific disciplines. This review addresses the gap in the …