The award is presented to the highest performing ECR in 2022, based on a range of research activity, including publications, citations, grants, industry engagement, research impact and HDR supervision within the school.
Nas, who completed her PhD at La Trobe University in 2018, has extensive experience with computational methods such as machine learning techniques and molecular dynamic simulations.
Her research primarily focuses on applying linear and nonlinear machine learning techniques, specifically advanced forms of multiple linear regression and artificial neural networks, to explore the relationships between structure and properties of various materials, such as solar cells and fluorescent polymers.
She also uses molecular dynamics simulations and electronic structure calculations to examine the mutual orientation and properties of organic photo-dyes in solar cell matrices.
Her work has been published in Advanced Energy Materials, Chem, Nature Chemistry, Nature Nanotechnology, Nature Synthesis, Nature Communications, Advanced Materials, ACS Nano, and npj Computational Materials.
You can read more about Nas’s work here: https://excitonscience.com/news/member-profile-nastaran-meftahi