Inverse design of steel–natural frameworks for direct air seize of CO2via deep reinforcement studying

Digital Discovery, 2024, 3,728-741
DOI: 10.1039/D4DD00010B, Paper

Open Access

&nbsp This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.

Hyunsoo Park, Sauradeep Majumdar, Xiaoqi Zhang, Jihan Kim, Berend Smit
A reinforcement learning framework enables the design and discovery of novel metal–organic frameworks (MOFs) for direct air capture of CO2 (DAC) in terms of CO2 heat of adsorption and CO2/H2O selectivity.
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