From biomass waste to CO2 capture: a multi-fidelity machine learning workflow for high-throughput screening of activated carbons
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Rising atmospheric CO2 levels threaten climate stability, demanding transformative solutions in carbon capture, utilization, and storage. Porous activated carbons (ACs) derived from sustainable waste sources offer a promising route for cost-effective and eco-f... ...
