2 papers
cond-mat.mtrl-sci2026
Automated laboratory x-ray diffractometer and fluorescence spectrometer for high-throughput materials characterization
Hyun Sang Park, Timothy Long, Michael Wall +8
The increasing importance of artificial intelligence and machine learning in materials research has created demand for automated, high-throughput characterization techniques capabl…
cs.DC2025
MOFA: Discovering Materials for Carbon Capture with a GenAI- and Simulation-Based Workflow
Xiaoli Yan, Nathaniel Hudson, Hyun Park +15
We present MOFA, an open-source generative AI (GenAI) plus simulation workflow for high-throughput generation of metal-organic frameworks (MOFs) on large-scale high-performance com…