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Ling Zhang

Ling Zhang

My research centers on the application of generative models in the context of renewable energy systems. By developing generative models, we can account for uncertainty without explicitly modeling probability. Advisor: Daniel Kirschen — Electrical & Computer Engineering ...

Muammer Yaman

My research involves the synthesis of hierarchical inorganic materials by designing programmable macromolecular building blocks like proteins, polymers. Advisor: David Ginger — Chemistry ...

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 ...

Caitlyn Wolf

Caitlyn Wolf

Using molecular dynamics simulations of P3HT, we will train a machine learning model to predict neutron scattering profiles from force fields (FFs). Advisor: Lilo Pozzo - Chemical Engineering ...

Duyen Tran

My research will address these challenges by (1) investigating ternary blends composed of a new class of NFAs synthesized in our lab and (2) developing tandem OPV devices with enhanced efficiency and Voc. Advisor: Samson A. Jenekhe - Chemical Engineering ...

Daniel Tabas

Daniel Tabas

My research aims to develop a robust control framework for improving transient stability margins in low-inertia grids, in order to safely accommodate more renewable energy. Advisor: Baosen Zhang — Electrical & Computer Engineering ...

Lane Smith

Lane Smith

My research will focus on optimizing distributed energy resource (DER) utilization to ensure that maximum value is realized. Advisor: Daniel Kirschen — Electrical & Computer Engineering ...

Abhi Saxena

The study of light matter interaction lies at the heart of our quest to find clean energy alternatives ranging from solar energy capture and use, and better energy storage means, to finding energy efficient optoelectronic technologies. Advisor: Arka Majumdar — Electrical & Computer Engineering ...