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arXiv · 2207.12467

Reproducible Sorbent Materials Foundry for Carbon Capture at Scale

Austin McDannald·Howie Joress·Brian DeCost·Avery E. Baumann·A. Gilad Kusne·Kamal Choudhary·Taner Yildirim·Daniel W. Siderius·Winnie Wong-Ng·Andrew J. Allen·Christopher M. Stafford·Diana Ortiz-Montalvo
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Abstract

We envision an autonomous sorbent materials foundry (SMF) for rapidly evaluating materials for direct air capture of carbon dioxide (CO2), specifically targeting novel metal organic framework materials. Our proposed SMF is hierarchical, simultaneously addressing the most critical gaps in the inter-related space of sorbent material synthesis, processing, properties, and performance. The ability to collect these critical data streams in an agile, coordinated, and automated fashion will enable efficient end-to-end sorbent materials design through machine learning driven research framework.

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Austin McDannald, Howie Joress, Brian DeCost, Avery E. Baumann, A. Gilad Kusne, Kamal Choudhary, Taner Yildirim, Daniel W. Siderius, Winnie Wong-Ng, Andrew J. Allen, Christopher M. Stafford, Diana Ortiz-Montalvo. 2022-07-25. Reproducible Sorbent Materials Foundry for Carbon Capture at Scale. https://arxiv.org/abs/2207.12467

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