Machine learning and robot-assisted synthesis of diverse gold nanorods via seedless approach-Reference-Cited by-同舟云学术

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Machine learning and robot-assisted synthesis of diverse gold nanorods via seedless approach

Published:2023-12 Issue:2 Volume:1 Page:100028
ISSN:2949-7477
Container-title:Artificial Intelligence Chemistry
language:en
Short-container-title:Artificial Intelligence Chemistry

Author:

Moses Oyawale Adetunji,Adam Mukhtar Lawan,Chen Zijian,Ezeh Collins Izuchukwu,Huang Hao,Wang Zhuo,Wang Zixuan,Wang Boyuan,Li Wentao,Wang Chensu,Yin Zongyou,Lu Yang,Yu Xue-Feng,Zhao Haitao

Publisher

Elsevier BV

Reference73 articles.

1. Automation and control of laser wakefield accelerators using Bayesian optimization;Shalloo;Nat. Commun.,2020

2. Automated buildup of biomimetic films in cell culture microplates for high-throughput screening of cellular behaviors;Machillot;Adv. Mater.,2018

3. A robotic platform for the synthesis of colloidal nanocrystals;Zhao;Nat. Synth.,2023

4. Robotic platform for accelerating the high-throughput study of silver nanocrystals in sensitive/selective Hg2+ detection;Xing;Chem. Eng. J.,2023

5. Smart manufacturing must embrace big data;Kusiak;Nature,2017

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