Research Interests

Our research group (D2M Data to Manufacturing Laboratory) is situated at the intersection between advanced manufacturing and material informatics. We are developing state-of-the-art hybridized additive manufacturing platforms to construct 3D functional materials with controlled architectures across length-scales. These 3D-printed hierarchical materials are strategically designed by tuning compositions and geometries to enhance their performance in energy storage and biomedical sensing applications. Using machine learning (ML), a tool within the artificial intelligence (AI) space, we can leverage the sizable dataset generated through the automated manufacturing processes and further improve the material functional performance. Hidden fundamental relations between the device performance and fabrication parameters can potentially be revealed and further predictions on product quality and performance can be made.