AFFORDABLE AND CLEAN ENERGY

Precious metal complexes such as platinum(II), which have been widely used as photo-functional materials, are costly and resource limited, driving strong demand for their replacement with more abundan [...]

The utilization of biomaterial feedstocks to fabricate advanced materials is the vital area of the research needed to achieve an energy future independent of fossil fuels. My research concerns the che [...]

All-solid-state fluoride shuttle batteries that use fluoride ions as carriers are attracting attention as batteries with higher energy density than lithium-ion batteries. As a cathode active material, [...]

In this study, I plan to synthesise FeNi@C nanoparticles using inductive thermal plasma. By adjusting the conditions such as plasma parameters, plasma device settings, and carbon source gas parameters [...]

TTA-UC has attracted attention as a methodology for converting low-energy photons to high-energy photons, and recently, solid-state TTA-UC is expected to be a further breakthrough. One of the challeng [...]

In the realm of material science, there is a growing focus on leveraging computational approaches to predict and discover novel structures. However, the existing methods involve resource-intensive and [...]

This study aims to develop AI computing hardware that mimics biological neural circuits, significantly reducing power consumption compared to conventional digital circuits. In particular, it seeks to [...]

Metal cluster is sub-nanometer-sized particles composed of several to several hundred atoms. Superatoms are special types of metal clusters that exhibit atom-like properties and have been intensively [...]

Development of luminescent nickel(II) complexes by controlling assembly-induced states

Nanocellulose ‒ sustainable material for proton exchange membrane in hydrogen fuel cells

Thermodynamic Properties of Fluoride ion Battery Cathode Materials

Synthesis of Carbon-coating magnetic nanoparticle by Induction Thermal Plasma

Elucidation of design guidelines for high-efficiency solid-state UC materials

Genetic Algorithm combined with Neural Network Potentials for New Structure Predictions in Material Science

Design of Bio-Inspired Neural Circuits for Ultra-Low Power AI Hardware

Elucidation of the Photoresponsive Properties of 13-atom Superatoms

“Future-Creation (MIRAI)” Course Kyushu University SPRING program