Research Assistant

The petitioner plans to conduct materials science research focused on creating advanced materials and recyclable polymers. This work aims to reduce waste and petrochemical production during manufacturing to ensure environmental sustainability and improve the design of Internet of Things devices.

The petitioner proposes to investigate the structure-property relationships of soft and polymeric materials to support innovations in energy storage, high-performance biomedical materials, and environmental sustainability. He aims to develop new algorithms and simulation tools for characterizing polymer structures using advanced computational modeling and experimental analysis. This work is intended to accelerate the discovery of high-performing materials for batteries and energy systems to reduce carbon emissions.

The petitioner proposes to continue research on developing state-of-the-art active learning platforms for the autonomous designing of organic materials with targeted performance. This work involves creating large databases of computed polymer properties and corresponding machine learning models to advance the use of organic polymeric materials in vital life processes and solar technology.

The petitioner proposes to develop computational models to identify charged polymer materials with optimal properties for energy storage systems. This research aims to enable the development of high-performance materials for lithium-ion batteries and other storage devices to support the transition to cleaner energy technologies.