Machine learning-guided high throughput nanoparticle design
Ana Ortiz‐Perez, Derek van Tilborg, Roy van der Meel, Francesca Grisoni, Lorenzo Albertazzi
Abstract
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.
Topics & Concepts
ThroughputNanoparticleComputer scienceArtificial intelligenceNanotechnologyMachine learningComputer architectureMaterials scienceOperating systemWirelessCell Image Analysis TechniquesGold and Silver Nanoparticles Synthesis and ApplicationsNanoparticle-Based Drug Delivery