Nanoparticles for Environment, Engineering, and Nanomedicine

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2850723.pdf (1.3 MB)

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https://www.hindawi.com/journals/jnt/2019/2850723/abs/

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https://doi.org/10.1155/2019/2850723
 http://hdl.handle.net/11603/12950

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UMBC Chemical, Biochemical & Environmental Engineering Department
UMBC Faculty Collection

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Date

2019-01-30

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journal articles
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Citation of Original Publication

Rachid Seqqat, Lee Blaney, David Quesada, Brajesh Kumar, and Luis Cumbal, Nanoparticles for Environment, Engineering, and Nanomedicine, Journal of Nanotechnology Volume 2019, Article ID 2850723, 2 pages, https://doi.org/10.1155/2019/2850723

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Attribution 4.0 International (CC BY 4.0)

Subjects

quantitative structure-activity relationship (QSAR)
quantitative structure-property relationship (QSPR)
Monte Carlo method
genetic algorithms
neural networks
data mining
network analysis
machine learning techniques
k-clustering techniques
deep learning techniques
nanoscience
nanotechnology

Abstract