End-to-end design creates two low-cost materials to capture methane

Researchers at the University of Chicago have developed two new, low-cost materials that can capture methane gas. This breakthrough was made possible through a new, end-to-end machine-learning-guided workflow created by the lab of professor Laura Gagliardi in the Pritzker School of Molecular Engineering and Department of Chemistry.

The innovative materials, named UCHI-1 and UCHI-2, are zinc-based metal-organic frameworks (MOFs) that demonstrate superior gas adsorption and separation capabilities. These materials represent a more efficient, cost-effective method to convert academic research into real-world applications, closing the loop between computational predictions and experimental validation.

The end-to-end process connects data mining, machine-learning predictions, materials design, synthesis, and experimental validation in a single discovery cycle. This innovative approach helps overcome major barriers in computational materials discovery, where many theoretically promising materials are never synthesized, while experimental development often relies on trial and error.

Methane is a potent greenhouse gas, with a climate impact 80 times greater than CO2 over a 20-year period. It is primarily produced by agriculture, landfills, coal mining, and oil and natural gas operations. By capturing methane, the new materials can help reduce its damaging effects on the environment and benefit industries by saving billions of dollars annually through reduced leaks.

The collaborative research involved the University of Chicago, Argonne National Laboratory, and Northwestern University. The study was published in the Journal of the American Chemical Society.