Rui Ding

Updates

Two Papers at NeurIPS 2025 Workshops

Two co-first-authored papers accepted at NeurIPS 2025 workshops, both focused on making AI practical for materials and experimental discovery. AI4...

BRAINIAC Progress Update

Submitted our NSF ACCESS progress report for the BRAINIAC project. Summary of current status: Completed: Published proof-of-concept as MSDE cov...

MSDE Cover Article on Neuromorphic Sensor Design

Our paper on neuromorphic spiking graph neural networks for FET sensor design has been published as the cover article in Molecular Systems Design &...

Paper Published in Science Advances

Our work on multi-stage machine learning for catalyst discovery is now published in Science Advances. The paper presents an integrated framework c...

NSF ACCESS Allocation for BRAINIAC

Received an NSF ACCESS allocation (1.5M credits) to support the BRAINIAC project. The computing resources will enable large-scale LLM processing of...

Review Published in Chemical Society Reviews

Our comprehensive review on machine learning for electrocatalyst design has been published in Chemical Society Reviews. The article surveys ML appl...

Preprint: Multi-Stage ML for Catalyst Discovery

Posted our preprint on multi-stage machine learning for electrocatalyst discovery. The work combines data mining, active learning, and domain adapt...

Joining UChicago and Argonne

Started as an Eric and Wendy Schmidt AI in Science Postdoctoral Fellow at the University of Chicago, with a joint appointment as Resident Associate...