Kaiyan Yu
Binghamton University, NY·Engineering·Early-career
Building tiny devices often requires moving nanoscale objects, such as nanowires, into exact positions. Current tools can move only a few objects at a time, which makes nanodevices slow and costly to build.
- Fields
Engineering
Biomedical Engineering
Materials Science
- Topics
nanomanipulation
nanorobotics
micromanipulation
- Grants
- 1 known grant, through Feb 2027
What they work on
- Design adaptive robust ensemble control that moves large numbers of nano-sized objects independently in a three-dimensional microfluidic environment under shared electric fields.
- Analyze the controllability and manipulability of electric-field nanomanipulation to find the most effective electrode pattern and plan efficient paths for individual objects.
- Develop control schemes for assembling nanodevices, especially neuromorphic nanowire networks that mimic biological neurons, for next-generation AI computing hardware.
More about the research
This project asks whether a single shared electric field, produced by a pattern of electrodes, can steer many nano-sized objects at once while still moving each one along its own path.
Why it matters
Moving many nanoscale objects precisely and in parallel could make functional nanodevices cheaper and faster to build. This could help with new materials, electronics and medical devices. Neuromorphic nanowire networks could serve as efficient hardware for artificial intelligence. In the longer term, automated micro- and nanoscale "bio-factories" could support targeted drug delivery and precision medicine.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Michael Bevan
Johns Hopkins University, MD·Engineering
Measure and model how spherical and ellipsoidal colloidal particles interact on spherical, cylindrical and wavy surfaces as a function of particle aspect ratio, surface coverage and substrate curvature, using optical microscopy paired with simulation.
Wencong Su
University of Michigan-Dearborn, MI·Engineering
Build a fundamental understanding of the practical challenges facing low-inertia power grids with high penetration of grid-forming inverter-based energy resources, which set grid voltage and frequency themselves.
Juan Perez-Mercader
Harvard University, MA·Chemistry
Determine the smallest workable volume for computing chemical reaction networks, using picoliter and femtoliter reactor arrays to find the molecule count that keeps signal noise acceptable.
The school
Binghamton University: 14 labs on PI Pages, $161M a year on research, 132 research doctorates a year.
Reach out
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