GX Research Hub · English

GX & Decarbonization Research

This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.

The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.

Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.

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Showing 4681–4700 of 34138 papers

Peer-reviewedJournalEnergy and Environmental Science2011#CCUSDOI

Carbon capture in metal-organic frameworks - A comparative study

Simmons J.M.

A comparative study of carbon capture using metal-organic frameworks (MOFs). MOFs are porous materials with high CO2 adsorption capacity, drawing attention as candidates for CCUS separation and capture. The paper appears to compare capture …

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Peer-reviewed🌍 GlobalJournalEnergy Policy2025#HydrogenDOI

De-risking green hydrogen? Insights from Chile and South Africa

Scholvin S.

This paper examines de-risking strategies for green hydrogen projects through case studies of Chile and South Africa. It analyzes how policy support and investment frameworks shape project viability, offering lessons for building hydrogen e…

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Peer-reviewedJournalJournal of Engineering Science and Technology Review2023#HydrogenDOI

Electrochemistry and the Barriers to a Hydrogen Economy

Chalaris M.

A review-style work examining the electrochemical and technical barriers to a hydrogen economy. It focuses on the fundamental chemistry of hydrogen production and use—electrolysis and fuel cells—and outlines cost, efficiency, and infrastruc…

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Peer-reviewedConferenceProceedings of the 1st IEEE International Conference on Advances in Next Gen Computer Science Icancs 20252025#Climate FinanceDOI

Exploring Predictive Modeling Approaches in Finance for Measuring, Tracking and Accelerating the Progress of Global Sustainable Development Objectives

Jeyaprabha B.

This work explores predictive modeling approaches in finance to measure, track, and accelerate progress toward global Sustainable Development Goals. Without an available abstract, the specific methods and findings remain unclear, but it app…

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