Associate Professor
Developing novel fast proton (H+) conducting electrolyte materials and e–/O2-/H+ triple conducting electrocatalyst materials applicable to fuel cells, steam electrolysis, and membrane reactors
Efficient material exploration using experimental data and machine learning
Application of novel electrolyte and electrode materials to fuel cells, development of new cell configuration, and optimization of cell fabrication process.
Synthesis of high-quality metal oxides with precisely controlled point defects. We can prepare high-density samples of acceptor-substituted BaZrO3, known as a refractory proton conductor, epitaxial thin films by laser ablation, photocatalysts with precisely controlled cation and anion defect concentration, and anode-supported solid oxide cells.
We can evaluate physical properties of both bulk and surface properties for developed materials, e.g., Rietveld method for crystal structure evaluation, electrochemical properties, thermogravimetric analysis for point defect concentration measurement, thermodynamic parameter measurement, isotope exchange method for ion diffusion coefficient measurement, ion scattering spectroscopy, and photoelectron spectroscopy.
We propose descriptors that improve the prediction accuracy of machine learning based on our accumulated knowledge of materials science. We construct descriptors necessary for predicting bulk properties of hypothetical materials, taking into account crystal structure, electronic structure, and dominant factors of physical properties.
