[G] Hydrogen and Battery Related Materials(1)

[230] Assessing Enthalpy for AB2-Type High-Entropy Hydrogen Storage Materials Using Machine Learning and Comparison with Experiments and DFT Calculations

*Shivam DANGWAL^1,2, Yuji IKEDA³, Blazej GRABOWSKI³, Kaveh EDALATI^1,2 (1. WPI-I2CNER, Kyushu University, Fukuoka, Japan, 2. The Department of Automotive Science, Kyushu University, Fukuoka, Japan, 3. Institute for Materials Science, University of Stuttgart, Germany)

Keywords:Solid-state hydrogen storage、High entropy alloy、DFT、Machine learning、AB2-type

In this study, enthalpy for (solid-state hydrogen storage) hydride formation for a high-entropy alloy was assessed using experiments, machine learning and density function theory.