Data‐Driven Innovation in Metal‐Organic Frameworks Photocatalysis: Bridging Gaps for CO2 Capture and Conversion with FAIR Principles

Metal‐organic frameworks (MOFs) have emerged as key materials for carbon capture and conversion, particularly in photocatalytic CO2 reduction. However, inconsistent reporting of essential parameters in the literature hinders informed decisions about material selection and optimization. This perspect...

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Bibliographic Details
Main Authors:	Claudia Bizzarri, Manuel Tsotsalas
Format:	Article
Language:	English
Published:	Wiley-VCH 2025-05-01
Series:	Advanced Energy & Sustainability Research
Subjects:	automated data extractions carbon capture and conversions FAIR (FAIR—Findable, Accessible, Interoperable, and Reusable) data principles metal‐organic frameworks natural language processing tools photocatalytic CO2 reduction
Online Access:	https://doi.org/10.1002/aesr.202400325
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Data‐Driven Innovation in Metal‐Organic Frameworks Photocatalysis: Bridging Gaps for CO2 Capture and Conversion with FAIR Principles

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