The prediction of hydrogen release ability is indispensable to evaluating hydrogen storage performance of LiBH 4 -based mixtures before experimentation. In order to achieve this goal, ensemble machine learning is employed to automatically infer the …
Apply hierarchical clustering technique for characterizing Solid-State Lithium Ion conductors
[ Collaborated with Toyota Research, Illinois Tech ]
Material development heavily relies on domain knowledge and professional’s intuitive, which hinders the discovery of new material. We are collaborating with material experts and propose generative models for boosting material discovery.
Hydrogen energy has been recognized as “Ultimate Power Source” in the 21st century. It is a boon in these days of energy crunches and concerns about climate change because of the characterized advantages, such as high energy density, large calorific …