Machine learning in natural and engineered water systems
R Huang, C Ma, J Ma, X Huangfu, Q He - Water Research, 2021 - Elsevier
Water resources of desired quality and quantity are the foundation for human survival and
sustainable development. To better protect the water environment and conserve water …
sustainable development. To better protect the water environment and conserve water …
[HTML][HTML] Nano-QSAR modeling for predicting the cytotoxicity of metallic and metal oxide nanoparticles: A review
J Li, C Wang, L Yue, F Chen, X Cao, Z Wang - … and Environmental Safety, 2022 - Elsevier
Given the rapid development of nanotechnology, it is crucial to understand the effects of
nanoparticles on living organisms. However, it is laborious to perform toxicological tests on a …
nanoparticles on living organisms. However, it is laborious to perform toxicological tests on a …
Interaction of nanoparticles with biological macromolecules: A review of molecular docking studies
The high frequency of using engineered nanoparticles in various medical applications
entails a deep understanding of their interaction with biological macromolecules. Molecular …
entails a deep understanding of their interaction with biological macromolecules. Molecular …
Machine learning boosts the design and discovery of nanomaterials
Y Jia, X Hou, Z Wang, X Hu - ACS Sustainable Chemistry & …, 2021 - ACS Publications
Nanomaterials (NMs) have developed quickly and cover various fields, but research on
nanotechnology and NMs largely relies on costly experiments or complex calculations (eg …
nanotechnology and NMs largely relies on costly experiments or complex calculations (eg …
[HTML][HTML] Using Machine Learning to make nanomaterials sustainable
JJ Scott-Fordsmand, MJB Amorim - Science of The Total Environment, 2023 - Elsevier
Sustainable development is a key challenge for contemporary human societies; failure to
achieve sustainability could threaten human survival. In this review article, we illustrate how …
achieve sustainability could threaten human survival. In this review article, we illustrate how …
Machine learning accelerates quantum mechanics predictions of molecular crystals
Quantum mechanics (QM) approaches (DFT, MP2, CCSD (T), etc.) play an important role in
calculating molecules and crystals with a high accuracy and acceptable efficiency. In recent …
calculating molecules and crystals with a high accuracy and acceptable efficiency. In recent …
QSAR-Co-X: an open source toolkit for multitarget QSAR modelling
AK Halder, MN Dias Soeiro Cordeiro - Journal of Cheminformatics, 2021 - Springer
Quantitative structure activity relationships (QSAR) modelling is a well-known computational
tool, often used in a wide variety of applications. Yet one of the major drawbacks of …
tool, often used in a wide variety of applications. Yet one of the major drawbacks of …
[HTML][HTML] Health and environmental safety of nanomaterials: O Data, Where Art Thou?
I Furxhi - NanoImpact, 2022 - Elsevier
Nanotechnology keeps drawing attention due to the great tunable properties of
nanomaterials in comparison to their bulk conventional materials. The growth of …
nanomaterials in comparison to their bulk conventional materials. The growth of …
Current state of laser-induced fluorescence spectroscopy for designing biochemical sensors
Laser-induced fluorescence (LIF) has been a valuable analytical technique since the 1970s
that has only been made more useful through advances in other scientific fields such as …
that has only been made more useful through advances in other scientific fields such as …
A comprehensive systematic literature review of ML in nanotechnology for sustainable development
The rapid expansion of nanotechnology has transformed numerous sectors, with
nanoproducts now ubiquitous in everyday life, electronics, healthcare, and pharmaceuticals …
nanoproducts now ubiquitous in everyday life, electronics, healthcare, and pharmaceuticals …