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 14461–14480 of 30396 papers

Peer-reviewed🌍 GlobalJournalGéotechnique Letters2026#CCUSDOI

Editorial: Advances in subsurface geotechnology for decarbonisation

G. Buscarnera, G. D. Vecchia, J. Hyman

This editorial introduces recent advances in subsurface geotechnology for decarbonization, focusing on applications such as CCUS and geothermal energy. It likely discusses innovations in subsurface storage and monitoring technologies.

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Peer-reviewed🇺🇸 USAConferenceSPE Annual Technical Conference Proceedings2023#AI × ESGDOI

A Data Analytics and Machine Learning Study on Site Screening of CO2 Geological Storage in Depleted Oil and Gas Reservoirs in the Gulf of Mexico

Leng J.

This study applies data analytics and machine learning to site screening for CO2 geological storage in depleted oil and gas reservoirs in the Gulf of Mexico. It proposes a method to improve the accuracy and speed of storage site evaluation,…

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