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Machine learning-guided high throughput nanoparticle design

delete2024-01-01
delete12
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OA
AI
A
Ana Ortiz‐Perez
D
Derek van Tilborg
R
Roy van der Meel
F
Francesca Grisoni *
L
Lorenzo Albertazzi *
DOI：10.1039/d4dd00104ddelete
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Abstract

Abstract

En 中文
<jats:p>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.</jats:p>
Keywords:
MICROFLUIDIC PLATFORM

Journal

Digital Discovery cover
Digital Discovery
IF:
5.6
Papers:
971
Citations:
1.7K

Organization

E
Eindhoven University of Technology
Scholars:
1.6W
Papers: 1.5W
Citations: 2.2W