PIPages
Labs

Zhi Liang

Missouri University of Science and Technology, MO·Engineering

Scientists understand well what happens when millimeter-sized or larger particles hit a liquid surface. They know much less about nanoparticles, which are billions of times smaller and collide at high speeds.

Fields

Engineering

Physics

Materials Science

Topics

nanoparticles

nanoparticle impact

liquid surfaces

Grants
1 known grant, through Aug 2029

What they work on

  1. Use molecular dynamics simulations to determine how liquid surface tension, viscosity, nanoparticle size, shape and impact speed each affect what happens when a nanoparticle strikes a liquid surface.
  2. Track the position, velocity and forces on a nanoparticle over time during impact, together with the changing liquid surface shape and contact line, details that current experiments cannot measure.
  3. Apply machine learning to classify nanoparticle-liquid impact behaviors and run sensitivity analyses that identify the key controlling parameters, using less data than full parameter sweeps.
  4. Identify the critical conditions for transitions between impact modes and detect where continuum-level predictions break down, producing design rules for applications.

More about the research

Nanoparticle impacts are too small and too fast to watch even with advanced instruments. Yet these collisions matter for cleaning pollutants from air, making advanced materials and designing sensors.

Why it matters

Nanoparticles hitting liquids are central to removing pollution from air, fabricating advanced materials and designing sensors. Clear rules for when nanoparticles bounce, stick or sink into a liquid, and for where standard fluid models fail, could help engineers design these industrial and biomedical processes. That could reduce the need for trial and error with experiments that cannot directly observe the collisions.

Known grants

From NIH and NSF research grants. Labs often have other funding we can't see.

Understanding the impact dynamics of nanoparticles on liquid surfaces via molecular simulations and machine learning

NSF · Sep 2026 – Aug 2029

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The school

Missouri University of Science and Technology: 7 labs on PI Pages, $70M a year on research, 96 research doctorates a year.

More about Missouri University of Science and Technology

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