Snehi Shrestha
Papers
2
Total Citations
147
H-Index
2
About
Snehi Shrestha is pioneering the intersection of machine intelligence and sustainable materials science. Her research focuses on accelerating the discovery and design of advanced functional materials, with key contributions in biodegradable polymers and conductive aerogels. In her landmark 2024 study, Shrestha leveraged machine learning to identify all-natural plastic substitutes, addressing the global crisis of petrochemical plastic accumulation—a work that has already garnered 91 citations. She demonstrated that computational approaches can rapidly screen for materials meeting multiple property targets, including optical transparency and fire retardancy, dramatically shortening the traditional trial-and-error development cycle. In parallel, her work on MXene aerogels (56 citations) introduced an integrated workflow combining colloidal chemistry with machine intelligence to programmably design ultralight, conductive architectures with tailored electrical and mechanical properties. By replacing iterative experiments with data-driven prediction, Shrestha’s research offers a transformative path toward sustainable materials—from eco-friendly plastics to next-generation aerogels for electronics and energy applications. Her achievements mark her as a rising leader in AI-accelerated materials discovery.
Research Focus
Key Achievements
Top Papers
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