Autonomous Self-Driven Laboratory
Development of a self-driven laboratory that is capable of thin-film synthesis, imaging and characterization. The objective is to develop a fully autonomous laboratory system that performs the synthesis and characterization of thin films, analyze the data, and modify the chemical recipes and process parameters in an active learning framework, developing thin films with the desired electrical and optical properties
Notable Publications
Nature Communications [ https://doi.org/10.1038/s41467-024-55655-3 ]
Depolymerizable Polymers
Using first principles and ML methods, study depolymerization mechanisms in a class of biodegradable plastics containing polymeric ester linkages. This will allow discovery of novel polymer systems that can potentially display similar properties as everyday polymers, such as polyethylene and polyethylene terephthalate, but are easily depolymerized into valuable monomers or other organic systems through hydrolysis reaction.
Notable Publications
Chemistry of Materials [ https://doi.org/10.1021/acs.chemmater.0c03332 ]
Materials Science and Engineering: R: Reports
Design and Discovery of Shape Memory Alloys
An active learning approach to the design of high-temperature shape memory alloys having desired transformation temperatures and hysteresis by exploring the vast composition space and processing conditions. The aim is to discover suitable alloy composition and heat treatment conditions required for shape memory alloy synthesis to be used in aerospace, biomedical and automotive industries.
Notable Publications
Advanced Sciences [ https://doi.org/10.1002/advs.75916 ]
