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Seminar talk: Magnetic Nanoparticle Swarm for Active Delivery by Dr. Li Zhang

September 21 @ 7:00 pm - 8:00 pm

Abstract

In nature, various types of swarm behaviors occur, such as a flock of birds and a swarm of ants, which stem from local communications of limited individuals. Through collective pattern formation and reconfiguration, these animals dramatically change their swarming patterns according to the environment they interact with. To date, some large-scale robotic systems can well mimic the complex swarm behaviors of natural creatures through algorithm design and wireless communication (Science, Vol. 345, 795–799, 2014). However, due to the absence of onboard processors, sensors and actuators, to create a robotic system with functional swarm behaviors at small scales remains challenging.

Recently, my group has developed a strategy that selects the optimized magnetic nanoparticle swarms (MNS) in different biofluids, such as blood and vitreous humor (Nature Communications, 2019, DOI: 10.1038/s41467-019-13576). The swarms reported may have great potential in medical applications, and this work is an essential intermediate step from the fundamental understanding of nanorobotic swarms to their clinic applications.

In this lecture, I will present the recent research progress on the design and development of MNS from the following three aspects: (i) controlled generation of reconfigurable swarming pattern; (ii) motion control of the MNS in varied fluids; (iii) the perspective of the MNS for biomedical applications.

Speaker(s): Dr. Li Zhang,

Agenda:
We will plan for a 50 min presentation and a 10 min Q&A session.

Boise, Idaho, United States, Virtual: https://events.vtools.ieee.org/m/280790

Details

Date:
September 21
Time:
7:00 pm - 8:00 pm
Event Category:
Website:
https://events.vtools.ieee.org/m/280790

Organizer

pi-boson@ieee_org
Email:
pi-boson@ieee_org

Venue

Boise, Idaho, United States, Virtual: https://events.vtools.ieee.org/m/280790
Boise, Idaho, United States, Virtual: https://events.vtools.ieee.org/m/280790 + Google Map

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