87 citations · 92 across the 4 of their papers we have counts for
4 papers
Optimal Resource Utilization for Autonomous Laboratory Orchestrators
Austin McDannald, Julia Tisaranni, Howie Joress
In autonomous laboratories, AI agents suggest the next batch of experiments to do. However, planning and executing those tasks taking full advantage of the available resources is a…
Intrinsic Direct Air Capture
Austin McDannald, Daniel W. Siderius, Brian DeCost +2
We present new metrics to evaluate solid sorbent materials for Direct Air Capture (DAC). These new metrics provide a theoretical upper bound on CO2 captured per energy as well as a…
Reproducible Sorbent Materials Foundry for Carbon Capture at Scale
Austin McDannald, Howie Joress, Brian DeCost +9
We envision an autonomous sorbent materials foundry (SMF) for rapidly evaluating materials for direct air capture of carbon dioxide (CO2), specifically targeting novel metal organi…
Graph Neural Network Predictions of Metal Organic Framework CO2 Adsorption Properties
Kamal Choudhary, Taner Yildirim, Daniel Siderius +3
The increasing CO2 level is a critical concern and suitable materials are needed to capture such gases from the environment. While experimental and conventional computational metho…