Research Theme - 3: Machine Learning
3-1 Machine Learning Approach to Predict Condition for Conductivity Efficiency in Proton-exchange Membranes
Machine learning analysis has been conducted to identify the effect of physical properties on proton conductivity efficiency (/λ = conductivity/hydration number) of proton-exchange membranes produced by radiation-induced graft polymerization.