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Claire Heaney is currently an AI Science Research Fellow at Imperial College London within the Department of Earth Science and Engineering. Her research interests encompass a broad range of topics, including reduced-order modeling, machine learning scientific applications, and urban environmental flows. She is actively investigating the use of green infrastructure to combat air pollution. Claire Heaney has contributed to several high-impact publications, notably co-authoring articles recognized as top-cited works between January 2021 and December 2022. Among her notable publications is the work on autoencoder-based reduced-order models for eigenvalue problems in neutron diffusion, where she explored the advantages of autoencoders over traditional methods such as proper orthogonal decomposition for better low-dimensional space projections. Her work demonstrates significant advancements in capturing system behavior with fewer degrees of freedom, positioning her as a leading researcher in her field.
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.