Zero-dimensional carbon nanomaterials for fluorescent sensing and imaging

Z Yang, T Xu, H Li, M She, J Chen, Z Wang… - Chemical …, 2023 - ACS Publications
Advances in nanotechnology and nanomaterials have attracted considerable interest and
play key roles in scientific innovations in diverse fields. In particular, increased attention has …

Designing nanotheranostics with machine learning

L Rao, Y Yuan, X Shen, G Yu, X Chen - Nature Nanotechnology, 2024 - nature.com
The inherent limits of traditional diagnoses and therapies have driven the development and
application of emerging nanotechnologies for more effective and safer management of …

Molybdenum nanofertilizer boosts biological nitrogen fixation and yield of soybean through delaying nodule senescence and nutrition enhancement

M Li, P Zhang, Z Guo, W Cao, L Gao, Y Li, CF Tian… - ACS …, 2023 - ACS Publications
Soybean (Glycine max) is a crop of global significance and has low reliance on N fertilizers
due to its biological nitrogen fixation (BNF) capacity, which harvests ambient N2 as a critical …

Converting nanotoxicity data to information using artificial intelligence and simulation

X Yan, T Yue, DA Winkler, Y Yin, H Zhu… - Chemical …, 2023 - ACS Publications
Decades of nanotoxicology research have generated extensive and diverse data sets.
However, data is not equal to information. The question is how to extract critical information …

Nano-enabled strategies to enhance biological nitrogen fixation

M Li, L Gao, JC White, CL Haynes, TL O'Keefe… - nature …, 2023 - nature.com
Nano-enabled strategies to enhance biological nitrogen fixation | Nature Nanotechnology Skip to
main content Thank you for visiting nature.com. You are using a browser version with limited …

Role of artificial intelligence and machine learning in nanosafety

DA Winkler - Small, 2020 - Wiley Online Library
Robotics and automation provide potentially paradigm shifting improvements in the way
materials are synthesized and characterized, generating large, complex data sets that are …

Toward the integration of machine learning and molecular modeling for designing drug delivery nanocarriers

XJ Gao, K Ciura, Y Ma, A Mikolajczyk… - Advanced …, 2024 - Wiley Online Library
The pioneering work on liposomes in the 1960s and subsequent research in controlled drug
release systems significantly advances the development of nanocarriers (NCs) for drug …

Rational strategies for improving the efficiency of design and discovery of nanomedicines

X Shan, Y Cai, B Zhu, L Zhou, X Sun, X Xu… - Nature …, 2024 - nature.com
The rise of rational strategies in nanomedicine development, such as high-throughput
methods and computer-aided techniques, has led to a shift in the design and discovery …

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 …

Application of machine learning in nanotoxicology: a critical review and perspective

Y Zhou, Y Wang, W Peijnenburg… - Environmental …, 2024 - ACS Publications
The massive production and application of nanomaterials (NMs) have raised concerns
about the potential adverse effects of NMs on human health and the environment …