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Nanoscale
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April 16, 2019
In silico profiling nanoparticles: predictive nanomodeling using universal nanodescriptors and various machine learning approaches
Xiliang Yan, Alexander Sedykh, Wenyi Wang, et al.
Environmental Science & Technology
|
April 7, 2021
Elucidation of the Critical Role of Core Materials in PM<sub>2.5</sub>-Induced Cytotoxicity by Interrogating Silica- and Carbon-Based Model PM<sub>2.5</sub> Particle Libraries
Guohong Liu, Xiliang Yan, Shenqing Wang, et al.
Journal of Hazardous Materials
|
November 8, 2022
Unraveling the joint toxicity of transition-metal dichalcogenides and per- and polyfluoroalkyl substances in aqueous mediums by experimentation, machine learning and molecular dynamics
Guohong Liu, Xiliang Yan, Chengjun Li, et al.
Chemosphere
|
September 26, 2021
Predicting cytotoxicity of binary pollutants towards a human cell panel in environmental water by experimentation and deep learning methods
Jiahui Wang, Gaoxing Su, Xiliang Yan, et al.
Animals : an Open Access Journal From MDPI
|
May 14, 2025
The Glutamatergic System Regulates Feather Pecking Behaviors in Laying Hens Through the Gut-Brain Axis
Xiliang Yan, Chao Wang, Yaling Li, et al.
Journal of Hazardous Materials
|
June 14, 2025
Unraveling the ecotoxicity of micro(nano)plastics loaded with environmental pollutants using ensemble machine learning
Jing Zhang, Xiaofang Li, Hanle Chen, et al.
Journal of Hazardous Materials
|
March 1, 2022
Linking electron ionization mass spectra of organic chemicals to toxicity endpoints through machine learning and experimentation
Song Hu, Guohong Liu, Jin Zhang, et al.
Analytical Chemistry
|
September 24, 2020
Virtual Molecular Projections and Convolutional Neural Networks for the End-to-End Modeling of Nanoparticle Activities and Properties
Daniel P Russo, Xiliang Yan, Sunil Shende, et al.
Ecotoxicology and Environmental Safety
|
January 24, 2020
Analysis of model PM<sub>2.5</sub>-induced inflammation and cytotoxicity by the combination of a virtual carbon nanoparticle library and computational modeling
Guohong Liu, Xiliang Yan, Alexander Sedykh, et al.
Journal of Hazardous Materials
|
June 30, 2023
Implementing comprehensive machine learning models of multispecies toxicity assessment to improve regulation of organic compounds
Ying He, Guohong Liu, Song Hu, et al.
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of 6
Search research articles
Search
Showing results (11-20 of 52) with videos related to
Sort By:
Page
of 6
Nanoscale
|
April 16, 2019
In silico profiling nanoparticles: predictive nanomodeling using universal nanodescriptors and various machine learning approaches
Xiliang Yan, Alexander Sedykh, Wenyi Wang, et al.
Environmental Science & Technology
|
April 7, 2021
Elucidation of the Critical Role of Core Materials in PM<sub>2.5</sub>-Induced Cytotoxicity by Interrogating Silica- and Carbon-Based Model PM<sub>2.5</sub> Particle Libraries
Guohong Liu, Xiliang Yan, Shenqing Wang, et al.
Journal of Hazardous Materials
|
November 8, 2022
Unraveling the joint toxicity of transition-metal dichalcogenides and per- and polyfluoroalkyl substances in aqueous mediums by experimentation, machine learning and molecular dynamics
Guohong Liu, Xiliang Yan, Chengjun Li, et al.
Chemosphere
|
September 26, 2021
Predicting cytotoxicity of binary pollutants towards a human cell panel in environmental water by experimentation and deep learning methods
Jiahui Wang, Gaoxing Su, Xiliang Yan, et al.
Animals : an Open Access Journal From MDPI
|
May 14, 2025
The Glutamatergic System Regulates Feather Pecking Behaviors in Laying Hens Through the Gut-Brain Axis
Xiliang Yan, Chao Wang, Yaling Li, et al.
Journal of Hazardous Materials
|
June 14, 2025
Unraveling the ecotoxicity of micro(nano)plastics loaded with environmental pollutants using ensemble machine learning
Jing Zhang, Xiaofang Li, Hanle Chen, et al.
Journal of Hazardous Materials
|
March 1, 2022
Linking electron ionization mass spectra of organic chemicals to toxicity endpoints through machine learning and experimentation
Song Hu, Guohong Liu, Jin Zhang, et al.
Analytical Chemistry
|
September 24, 2020
Virtual Molecular Projections and Convolutional Neural Networks for the End-to-End Modeling of Nanoparticle Activities and Properties
Daniel P Russo, Xiliang Yan, Sunil Shende, et al.
Ecotoxicology and Environmental Safety
|
January 24, 2020
Analysis of model PM<sub>2.5</sub>-induced inflammation and cytotoxicity by the combination of a virtual carbon nanoparticle library and computational modeling
Guohong Liu, Xiliang Yan, Alexander Sedykh, et al.
Journal of Hazardous Materials
|
June 30, 2023
Implementing comprehensive machine learning models of multispecies toxicity assessment to improve regulation of organic compounds
Ying He, Guohong Liu, Song Hu, et al.
Page
of 6