미세유체 및 코팅공정 연구실

— from fundamental understanding to manufacturing processes. Principles of thin-film formation and continuous liquid coating — the base of all our research. How slurries, inks, and pastes flow and remember — yield stress, thixotropy, and microstructure, linked to processability. Simulation across scales — finite-element free-surface flows, phase-field multiphase dynamics, and discrete-element particle models. Closing the loop between recipe and measurement — automated unit processes, in-line analytics, and physics-informed decision algorithms. Battery electrodes, MLCCs, fuel-cell layers, and functional films are all made the same way: a thin liquid layer is placed on a moving substrate and turned into a solid film. Everything else we study rests on how well that single step is understood. Like other chemical processes, the coating process consists of numerous unit operations. 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. The physical self-driving lab we are building — liquid handling, mixing, coating, capping, i