Seoul National University
Microfluidics and
Coating Process
Laboratory
We decode microscale flow of complex fluids
— at interfaces and among particles —
to redefine how batteries, fuel cells,
optical films, and semiconductors are made.
Transport phenomena,
from understanding to manufacturing
Our goal is to understand the transport phenomena at the heart of coating and other liquid-based manufacturing processes. Blending experiments, theory, and computation, we decode how the flow and microstructure of complex fluids — slurries, inks, and drying films, where product quality is actually decided — set the quality windows of the processes behind batteries, fuel cells, displays, and semiconductors.
We pair this understanding with machine learning that predicts process outcomes with calibrated uncertainty, and we are integrating AI, robotics, and process equipment into self-driving laboratories. Our destination is autonomous R&D for liquid-based manufacturing: closed-loop labs that map process windows, learn from failures, and judge whether a new material can be made and scaled — not just discovered.
- 24
- Lab members
- 127
- Journal papers
- 9
- Open positions
Lab life — photos over the years →
Research areas
Engineering fundamentals
Coating Process Fundamentals
Principles of thin-film formation and continuous liquid coating — the base of all our research.
Suspension Rheology
How slurries, inks, and pastes flow and remember — yield stress, thixotropy, and microstructure, linked to processability.
Multiscale Simulation
Simulation across scales — finite-element free-surface flows, phase-field multiphase dynamics, and discrete-element particle models.
Self-Driving Laboratories
Closing the loop between recipe and measurement — automated unit processes, in-line analytics, and physics-informed decision algorithms.
Advanced research
Battery Manufacturing SDL Platform
The physical self-driving lab we are building — liquid handling, mixing, coating, capping, in-line vision, and orchestration.
Concentrated Slurry Rheology
Transient stress, frictional contact networks, dispersant chemistry, and LF-NMR relaxometry in concentrated battery slurries.
Multiphase Flow Simulation
Phase-field simulation of multiphase flows — rheologically robust interpolation, bubbles rising in viscoelastic liquids, and ternary systems.
Battery Coating Process
Rheology, mixing, transport, die and coating flows, and microstructure analysis across the entire electrode slurry coating chain.
MLCC Coating Process
Experiments, imaging, and numerical analysis of ultra-thin ceramic layer coating for multilayer ceramic capacitors.
Transparent Electrode
Pattern formation and Marangoni instability in blade coating of conductive thin films.
We are hiring graduate students and post-docs
6 Ph.D. and 3 postdoctoral positions are open — most tied to an active research topic, so you can see exactly what you would work on.
See open positions