Research hero

What We Study

Research

What We Do

Research Areas

Catalyst Layer Performance & Durability Research

Catalyst Layer Performance & Durability Research

We investigate catalyst layer performance enhancement and long-term degradation mechanisms in water electrolysis and fuel cell systems. Through MEA fabrication (decal/spray method), electrode structure optimization, and catalyst activity analysis, we aim to accelerate the commercialization of next-generation hydrogen energy systems.

Key Research Topics

  • PEM/AEM water electrolysis catalyst layer performance analysis
  • MEA fabrication via Decal method and Spray method
  • Pt/C catalyst nanoparticle structure optimization
  • Catalysts-Ionomer Aggregates (Catalyst layer) design
  • Long-term durability accelerated stress test (AST) evaluation
AI/ML Prediction Model

AI/ML Prediction Model

Digital Twin Simulation

Digital Twin Simulation

We develop prediction models for the performance and durability of polymer electrolyte membranes and energy conversion devices using artificial intelligence (AI) and machine learning (ML) techniques. By building experiment-data-based predictive models, we maximize the efficiency of material development and device design.

Key Research Topics

  • Machine learning-based catalyst layer performance prediction model
  • Deep learning-based durability prediction and lifetime evaluation
  • Data-driven MEA structure optimization
  • AI-based ion exchange membrane performance prediction
  • Digital twin-based electrochemical system simulation
Ion Exchange Membrane Research

Ion Exchange Membrane Research

We research and develop high-performance ion exchange membranes (IEM) including composite membranes incorporating ionic liquids and sulfonated hydrocarbon polymers. Structural and chemical characterization is performed using FT-IR spectroscopy, confirming key functional groups (O-H, C=O, QA) essential for ion conductivity.

Key Research Topics

  • Cation/anion exchange membrane (CEM/AEM) synthesis and modification
  • Ionic liquid-based composite membrane fabrication
  • FT-IR characterization of functional groups (O-H, C=O, QA)
  • Ion selectivity, permeability, and conductivity analysis
  • Membrane durability and chemical stability evaluation
Reverse Electrodialysis (RED)

Reverse Electrodialysis (RED)

Capacitive Deionization (CDI)

Capacitive Deionization (CDI)

Redox Flow Battery (RFB)

Redox Flow Battery (RFB)

We research electrochemical processes for selective recovery and removal of ionic substances in aqueous systems. Through processes such as Redox Flow Batteries (RFB), electrodialysis (ED), and capacitive deionization (CDI), we investigate electrochemical oxidation and ion transport phenomena.

Key Research Topics

  • Redox Flow Battery (RFB) with ion exchange membrane
  • Electrodialysis (ED) process design and scale-up
  • Capacitive deionization (CDI) electrode material development
  • Electrochemical oxidation using DSA (Ir-Ru-Ta) electrodes
  • Selective ion separation and concentration technology