Deep learning-driven microfluidic chip architecture design for intelligent particle motion control.

Precise spatiotemporal manipulation of particles in complex microfluidic channel networks (MCNs) underlies numerous advanced applications, but remains constrained by the difficulty of rapidly translating prescribed trajectories into manufacturable de…

Preview only. Read the full abstract at the source