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Abdul Moeez

Moeez is a PhD Student in Molecular Engineering program. He is advised by Prof. Lilo Pozzo. In Pozzo Research Group, he is currently working on developing workflows for autonomous experimentation by integrating techniques like Small Angle X-Ray Scattering, Photo-spectroscopy and Microfluidics along with Machine Learning and Artificial Intelligence. He has also worked with Prof. Jun Liu for his Masters in Materials Science and Engineering thesis on developing electrochemically stable cathodes for Sodium Ion Batteries. He is a Fulbright and Global UGRAD Alumnus....

Yuhuan Meng

The goal of my research is to predict the degradation of encapsulated perovskite films and devices. Perovskite solar cells (PSCs) show potential for ultra-low manufacturing cost with high power conversion efficiency. However, the commercialization of PSCs is still uncertain given concerns about their stability. Previously, we showed how to predict the degradation of diffusion length in non-encapsulated MAPbI3 films over an extremely wide range of environment conditions using machine learning (ML). However, encapsulation is necessary for long service lifetimes. During the period of the award, I will collect a large dataset of degradation kinetics of encapsulated MAPbI3 and (FA,Cs)Pb(I,Br)3 perovskite films that includes in-situ optical transmittance along with video...

Liwen Xing

Liwen Xing

The goal of my research is to develop a more environmentally friendly method to synthesize high-performance D-A conjugated polymers (high MWs and zero homo-coupling defect). Advisor: Christine Luscombe — Molecular Engineering ...

Theodore Cohen

I will work with collaborators to develop 3D printable fluorinated resins and find novel methods to adjust the surface chemistry of perovskite nanocrystals so that they are soluble and stable in various fluorinated media. Advisor: J. Devin MacKenzie — Molecular Engineering ...