most citedMOFA: Discovering Materials for Carbon Capture with a GenAI- and Simulation-Based Workflow

2 citations · 4 across the 5 of their papers we have counts for

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cs.LG2025

Steering an Active Learning Workflow Towards Novel Materials Discovery via Queue Prioritization

Marcus Schwarting, Logan Ward, Nathaniel Hudson +5

Generative AI poses both opportunities and risks for solving inverse design problems in the sciences. Generative tools provide the ability to expand and refine a search space auton…

cs.LG2025

Topology-Aware Knowledge Propagation in Decentralized Learning

Mansi Sakarvadia, Nathaniel Hudson, Tian Li +2

Decentralized learning enables collaborative training of models across naturally distributed data without centralized coordination or maintenance of a global model. Instead, device…