Machine Learning-Enabled Repurposing and Design of Antifouling Polymer Brushes-Reference-Cited by-同舟云学术

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Machine Learning-Enabled Repurposing and Design of Antifouling Polymer Brushes

Published:2021-09 Issue: Volume:420 Page:129872
ISSN:1385-8947
Container-title:Chemical Engineering Journal
language:en
Short-container-title:Chemical Engineering Journal

Author:

Liu Yonglan,Zhang Dong,Tang Yijing,Zhang Yanxian,Gong Xiong,Xie Shaowen,Zheng Jie

Funder

National Science Foundation

University of Akron

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,Environmental Chemistry,General Chemistry

Reference80 articles.

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2. Applications of machine learning in drug discovery and development;Vamathevan;Nat. Rev. Drug Discovery,2019

3. Data mining and machine learning models for predicting drug likeness and their disease or organ category;Yosipof;Front. Chem.,2018

4. Medical Imaging: Artificial Intelligence, Image Recognition, and Machine Learning Techniques;Santosh,2019

5. Machine-learning reprogrammable metasurface imager;Li;Nat. Commun.,2019

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1. Mapping Biomaterial Complexity by Machine Learning;Tissue Engineering Part A;2024-08-12

2. Stably Grafting Polymer Brushes on Both Active and Inert Surfaces Using Tadpole-Like Single-Chain Particles with an Interactive “Head”;ACS Macro Letters;2024-07-02

3. Explainable Prediction of Hydrophilic/Hydrophobic Property of Polymer Brush Surfaces by Chemical Modeling and Machine Learning;The Journal of Physical Chemistry B;2024-07-01

4. Protein Adsorption on Solid Surfaces: Data Mining, Database, Molecular Surface-Derived Properties, and Semiempirical Relationships;ACS Applied Materials & Interfaces;2024-05-24

5. Machine-Learning-Aided Understanding of Protein Adsorption on Zwitterionic Polymer Brushes;ACS Applied Materials & Interfaces;2024-05-03

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