journal article·2025-11Open access

Adsorption Mechanisms and AI‐Driven Discovery of Biomass‐Based CO 2 Sorbents (Small 47/2025)

Faezeh Hajiali, Jingqian Chen, Tao Zou, Scott Renneckar, Bhushan Gopaluni, Naoko Ellis, Orlando J. Rojas

Small· Volume 21· Issue 47

Abstract

CO2 Sorbents In article number 2504877, Faezeh Hajiali, Orlando J. Rojas, and co-workers highlight advances in biomass-derived activated carbon for CO2 capture. It illustrates how biomass precursors, hierarchical pore structures, and functional groups influence adsorption performance. The integration of AI-driven discovery accelerates the identification of optimized bio-based sorbents. Together, these approaches advance sustainable, scalable, and efficient carbon capture solutions, addressing urgent global challenges in climate change mitigation.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Carbon Dioxide Capture Technologies · Covalent Organic Framework Applications · Adsorption and Cooling Systems

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Bioproducts Institute University of British Columbia 2385 East Mall Vancouver BC V6T 1Z4 Canada

Department of Chemical and Biological Engineering University of British Columbia 2360 East Mall Vancouver BC V6T 1Z3 Canada

Department of Wood Science Faculty of Forestry The University of British Columbia 2424 Main Mall #2900 Vancouver BC V6T 1Z4 Canada

Department of Chemistry The University of British Columbia 2036 Main Mall Vancouver BC V6T 1Z1 Canada

References

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