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 161–180 of 37113 papers

🇨🇳 ChinaJournalZenodo (CERN European Organization for Nuclear Research)2026#Carbon PricingDOI

Machine-certified equilibrium artifacts for intertemporal carbon markets

Yongbo Deng

Presents executable verification artifacts certifying every equilibrium claim in a dynamic carbon-market game using exact-rational certificates. A real-LLM propose-verify-revise protocol achieves 14/14 convergence and 42/42 adversarial reje…

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Peer-reviewed🇨🇳 ChinaJournalNitrogen2026#Climate ScienceDOI

Warming the World’s Croplands: Coupled Carbon–Nitrogen Cycling, Management Interactions, and the Durability of Soil Carbon Sequestration

Habib Ahmad, Wenxu Dong, Shahzad Saleem +2

Cropland topsoils hold ~83 Pg of organic carbon, but warming evidence comes mostly from N-limited forests and grasslands. A global synthesis of cropland warming experiments (~2°C) shows soil respiration up ~15% and N2O emissions up 13%. In …

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Peer-reviewedJournalZenodo (CERN European Organization for Nuclear Research)2026#Carbon PricingDOI

Carbon Emissions, Carbon Borders and Carbon Replacement Finance for Jute: Life-Cycle Evidence, Border-Measure Exposure and the Financing Prospects of Substituting Jute for Fossil-Based Materials

Syed Muntasir Mamun

This paper tests jute's low-carbon claim against published LCAs and maps exposure to carbon border measures and packaging rules. Jute's advantage is real but conditional—hinging on reuse, end-of-life fossil avoidance, and especially methane…

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Peer-reviewedJournalAgricultural Systems2026#Carbon AccountingDOI

Prospective assessment of the carbon footprint of cashew production in the Brazilian semiarid based on carbon dynamics modeling

Jonnathan Richeds da Silva Sales, Claudivan Feitosa de Lacerda, Viviane da Silva Barros +5

A prospective study modeling the carbon footprint of cashew production in Brazil's semiarid region using carbon dynamics modeling. It estimates the carbon balance of the agricultural production stage and likely examines how land use and man…

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Peer-reviewed🇪🇺 EuropeJournalZenodo (CERN European Organization for Nuclear Research)2026#Climate ScienceDOI

Application note: Analytical methodologies for the study of blue carbon

Isabel Casal‐Porras, J.M. Traverso-Soto, J.I. González-Gordillo +1

An application note surveying analytical methodologies for studying blue carbon—carbon sequestered by coastal and marine ecosystems. Without an abstract, details are limited, but it appears to consolidate measurement and assessment methods …

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Peer-reviewedJournalCase Studies in Thermal Engineering2026#CCUSDOI

Thermodynamic and economic analysis of a methanol fuel SOFC/GT/SCO2/ORC ship power system with coupled hollow fiber membrane carbon capture

Xintao Dong, Yindong Song, 姚寿广 +2

A thermodynamic and economic analysis of a methanol-fueled SOFC/GT/SCO2/ORC ship power system integrated with hollow fiber membrane carbon capture. It evaluates system efficiency and cost viability of an integrated design for maritime decar…

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JournalNext Energy2026#CCUSDOI

Artificial intelligence in carbon capture, utilisation, and storage: A systematic review of methods, data, evaluation practices, and deployment readiness

Asmau Iyabo Balogun, Haylay Tsegab Gebretsadik, Abdullateef Oluwagbemiga Balogun +4

A systematic review of AI applications across carbon capture, utilisation and storage, mapping methods, datasets, evaluation practices and deployment readiness. It clarifies where machine learning can improve CCUS efficiency and monitoring,…

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Peer-reviewed🇨🇳 ChinaJournalSustainability2026#ESGDOI

Selective Corporate Social Responsibility Disclosure Under Low-Carbon Policy Pressure: A Double Machine Learning Analysis Based on New Institutional Theory and Resource Dependence Theory

Tianyuan Rao, Heng Tan

Using 40,409 Chinese A-share firm-year observations (2007–2022), this study applies double machine learning to examine how city-level low-carbon policy pressure affects CSR disclosure. Stronger policy pressure is associated with lower CSR d…

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Peer-reviewed🇨🇳 ChinaJournalJournal of risk and financial management2026#AI × ESGDOI

Linking Climate Risk, Green Finance, and Corporate Low-Carbon Transformation: A Bibliometric and Topic Modeling Analysis

Xue Lei, Jian Xu, Shanshan Yue +1

A review of 1,369 Web of Science articles (2015–2025) combining bibliometric mapping and topic modeling to trace links among climate risk, green finance, and corporate low-carbon transformation. Output surged after 2021, much from China. Ab…

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