Optimized Bags of Artificial Neural Networks Can Predict the Viability of Organisms Exposed to Nanoparticles-Reference-Cited by-同舟云学术

Optimized Bags of Artificial Neural Networks Can Predict the Viability of Organisms Exposed to Nanoparticles

Published:2024-03-27 Issue:14 Volume:128 Page:2857-2870
ISSN:1089-5639
Container-title:The Journal of Physical Chemistry A
language:en
Short-container-title:J. Phys. Chem. A

Author:

Senanayake Ravithree D.¹^ORCID,Daly Clyde A.¹^ORCID,Hernandez Rigoberto¹²^ORCID

Affiliation:

1. Department of Chemistry, Johns Hopkins University, Baltimore, Maryland 21218, United States

2. Department of Chemical & Biomolecular Engineering and Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States

Funder

Division of Chemistry

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpca.3c07462

Reference57 articles.

1. Plenty of room, plenty of history

2. Engineered Nanoparticles in Consumer Products: Understanding a NewIngredient

3. Biological Responses to Engineered Nanomaterials: Needs for the Next Decade

4. The Two Faces of Nanotechnology

5. The potential environmental impact of engineered nanomaterials

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