Project Grant 2211491

This National Science Foundation Project Grant of $199,778 will support the development of new machine learning-enabled nanoinformatics tools and systems to advance nanomaterial design through 2026. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), this award to the Regents of the University of Minnesota will deliver a novel machine learning-based nanoinformatics framework. This framework will integrate new digital representations of nanostructures with emerging computational techniques for large-scale analysis of nanomaterial data. Specifically, the project will create new computational tools to automate nanostructure digitization. It will also develop interpretation methods to enhance deep learning predictive models and a cross-modal deep hashing network for fast and accurate nanomaterial data retrieval. Upon completion, the awardee will release the resulting nanoinformatics toolkits and databases to the public, advancing the goals of the sponsoring program to support computational research and infrastructure that enables discovery and innovation.