We often integrate modeling and data science with our experimental works.
Almost all of our current members have worked or are working on physics-based models, from the intricate reaction mechanism of oxygen vacancy in
materials to system-level SOFC stack. Now with the integration of data science and machine learning tools, modeling continously helps us interpreting
measured responses in terms of physics, chemistry, and operational parameters.