Machine Learning Predicting Optimal Preparation of Silica-Coated Gold Nanorods for Photothermal Tumor Ablation

Machine Learning Predicting Optimal Preparation of Silica-Coated Gold Nanorods for Photothermal Tumor Ablation

Gold nanorods (GNRs) coated with silica shells are excellent photothermal agents with high surface functionality and biocompatibility. Understanding the correlation of the coating process with both structure and property of silica-coated GNRs is crucial to their optimizing preparation and performanc...

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Bibliographic Details
Main Authors: Jintao Zhang, Jinchang Yin, Ruiran Lai, Yue Wang, Baorui Mao, Haonan Wu, Li Tian, Yuanzhi Shao
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Nanomaterials
Subjects:
silica-coated gold nanorods
machine learning
process optimization
high-throughput prediction
photothermal tumor ablation
Online Access:https://www.mdpi.com/2079-4991/13/6/1024

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https://www.mdpi.com/2079-4991/13/6/1024

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