优化银纳米线合成:机器学习改善和预测多元醇,微流反应器的产量

IF 3.674 4区 工程技术 Q1 Engineering Applied Nanoscience Pub Date : 2023-08-31 DOI:10.1007/s13204-023-02959-3
Destiny F. Williams, N. Rahimi, J. Smay, Shohreh Hemmati
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Optimizing silver nanowire synthesis: machine learning improves and predicts yield for a polyol, millifluidic flow reactor
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来源期刊
Applied Nanoscience
Applied Nanoscience Materials Science-Materials Science (miscellaneous)
CiteScore
7.10
自引率
0.00%
发文量
430
期刊介绍: Applied Nanoscience is a hybrid journal that publishes original articles about state of the art nanoscience and the application of emerging nanotechnologies to areas fundamental to building technologically advanced and sustainable civilization, including areas as diverse as water science, advanced materials, energy, electronics, environmental science and medicine. The journal accepts original and review articles as well as book reviews for publication. All the manuscripts are single-blind peer-reviewed for scientific quality and acceptance.
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