Machine learning for electrocatalyst and photocatalyst design and discovery

H Mai, TC Le, D Chen, DA Winkler… - Chemical …, 2022 - ACS Publications
Electrocatalysts and photocatalysts are key to a sustainable future, generating clean fuels,
reducing the impact of global warming, and providing solutions to environmental pollution …

Nanotechnology and artificial intelligence to enable sustainable and precision agriculture

P Zhang, Z Guo, S Ullah, G Melagraki, A Afantitis… - Nature Plants, 2021 - nature.com
Climate change, increasing populations, competing demands on land for production of
biofuels and declining soil quality are challenging global food security. Finding sustainable …

Comprehensive recycling of lithium-ion batteries: Fundamentals, pretreatment, and perspectives

W Yu, Y Guo, S Xu, Y Yang, Y Zhao, J Zhang - Energy Storage Materials, 2023 - Elsevier
With increasing the market share of electric vehicles (EVs), the rechargeable lithium-ion
batteries (LIBs) as the critical energy power sources have experienced rapid growth in the …

Construction of covalent organic frameworks via multicomponent reactions

Q Guan, LL Zhou, YB Dong - Journal of the American Chemical …, 2023 - ACS Publications
Multicomponent reactions (MCRs) combine at least three reactants to afford the desired
product in a highly atom-economic way and are therefore viewed as efficient one-pot …

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 …

Key knowledge gaps for One Health approach to mitigate nanoplastic risks

F Dang, Q Wang, Y Huang, Y Wang, B Xing - Eco-Environment & Health, 2022 - Elsevier
There are increasing concerns over the threat of nanoplastics to environmental and human
health. However, multidisciplinary barriers persist between the communities assessing the …

Representing and describing nanomaterials in predictive nanoinformatics

E Wyrzykowska, A Mikolajczyk, I Lynch… - Nature …, 2022 - nature.com
Engineered nanomaterials (ENMs) enable new and enhanced products and devices in
which matter can be controlled at a near-atomic scale (in the range of 1 to 100 nm) …

Advancing Predictive Risk Assessment of Chemicals via Integrating Machine Learning, Computational Modeling, and Chemical/Nano‐Quantitative Structure‐Activity …

AV Singh, M Varma, M Rai… - Advanced Intelligent …, 2024 - Wiley Online Library
The escalating use of novel chemicals and nanomaterials (NMs) across diverse sectors
underscores the need for advanced risk assessment methods to safeguard human health …

Tumor microenvironment-based stimuli-responsive nanoparticles for controlled release of drugs in cancer therapy

W Zhou, Y Jia, Y Liu, Y Chen, P Zhao - Pharmaceutics, 2022 - mdpi.com
With the development of nanomedicine technology, stimuli-responsive nanocarriers play an
increasingly important role in antitumor therapy. Compared with the normal physiological …

Glyphosate separating and sensing for precision agriculture and environmental protection in the era of smart materials

J Mazuryk, K Klepacka, W Kutner… - … Science & Technology, 2023 - ACS Publications
The present article critically and comprehensively reviews the most recent reports on smart
sensors for determining glyphosate (GLP), an active agent of GLP-based herbicides (GBHs) …