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Machine learning-guided high throughput nanoparticle design
DOI:10.1039/d4dd00104d.png)
摘要
En 中文
Designing nanoparticles with desired properties is challenging due to the large combinatorial space and complex structure–function relationships. This process can be accelerated by combining microfluidics, high content imaging and active learning.
Keyword:
MICROFLUIDIC PLATFORM
期刊
IF:
5.6
论文数:
997
被引数:
1.7K
机构
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