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 1981–2000 of 26314 papers

Peer-reviewed🌍 GlobalJournalACS Applied Engineering Materials2026#Energy TransitionDOI

Electrochemical Enhancement of Vanadium and Manganese Redox Couples Using N-Doped Carbon Nanomaterials Deposited on Carbon Cloth Electrodes

Shamik Chaudhuri, Reza Afshar Ghotli, Züleyha Kudaş +9

Nitrogen-doped carbon nanotubes and reduced graphene oxide were deposited binder-free onto carbon cloth via horizontal electrophoretic deposition. Nitrogen-induced defect-rich graphitic domains enhanced charge-transfer kinetics, lowered int…

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JournalNational Academies Press eBooks2026#Carbon AccountingDOI

Carbon Accounting and Environmental Impacts

(著者不明)

Appears to address carbon accounting and its environmental impacts, but no abstract is available, so methods and findings are unknown. Likely bridges GHG measurement/reporting frameworks and environmental impact assessment. Full text needed…

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Peer-reviewedJournalCSIRO2026#Carbon AccountingDOI

Explaining carbon accounting frameworks

Sandra Eady

A paper explaining carbon accounting frameworks. It likely outlines the structure and issues of the systems underpinning corporate GHG measurement and reporting, such as the GHG Protocol and Scope categories. Without an abstract, details ar…

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Peer-reviewed🇪🇺 EuropeJournalLand2026#Climate ScienceDOI

Nature-Based Solutions for Climate-Resilient Cities: A Comprehensive State-of-the-Art Review of Landscape Architecture and Urban Adaptation Strategies

Mirjana Miletić, Milena Lakićević

This review synthesizes recent literature on how landscape architecture operationalizes nature-based solutions (NBS) for urban climate adaptation. It maps dominant NBS typologies—green roofs, urban forests, bioretention, constructed wetland…

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Peer-reviewed🌍 GlobalJournalEnergy Conversion and Management2026#CCUSDOI

Techno-economic and environmental assessment of coal co-gasification with alternative carbon sources and CO2 capture and co-utilization for sustainable syngas production

Don Chinungi, Jeanne Louw, Johann F. Görgens

This study models eight integrated gasification pathways in Aspen Plus to assess techno-economic and environmental performance of coal co-gasification with cleaner carbon sources and CO2 capture/utilization. Coal–natural gas co-gasification…

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Peer-reviewedJournalApplied Energy2026#CCUSDOI

Calcium looping for carbon capture in power plants and hard-to-abate industries: Critical review of technical, economic, environmental performance and scalability pathways

Dingyi Jiang, Meihong Wang, Shouzhuang Li +3

A critical review of calcium looping (CaL) CO2 capture for power plants and hard-to-abate industries, assessing technical, economic, and environmental performance alongside scalability pathways. It synthesizes implementation barriers and fu…

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Peer-reviewedJournalINTERNATIONAL JOURNAL OF ENGINEERING AND MODERN TECHNOLOGY2026#CCUSDOI

Investigating the Impact of Length of Mass Transfer Zone (LMTZ) of Packed Adsorption Unit Design and Simulation for Carbon Dioxide (CO2) Capture

Sakwe Adianimovie

This study designs and simulates a packed-bed adsorption unit using activated carbon from periwinkle waste shells to capture CO2 and examines the impact of the length of the mass transfer zone (LMTZ). It achieved 95.7% CO2 removal in 501 s …

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Peer-reviewed🇨🇳 ChinaJournalEnergies2026#Energy TransitionDOI

A Fully Connected Deep Neural Network with Multi-Head Self-Attention Mechanisms Based on the Multi-Objective Ant-Lion Optimization Algorithm for Low-Carbon Economic Dispatch

Feiwei Li, Dexing Sun, Junwei Zhang +3

This study proposes FMM, combining multi-objective ant-lion optimization with a multi-head self-attention deep neural network, to solve low-carbon economic dispatch in power systems. On IEEE 118- and 300-bus systems it cuts CO2 emissions by…

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Peer-reviewed🇨🇳 ChinaJournalFrontiers in Sustainable Food Systems2026#PolicyDOI

Ecological civilization demonstration zones and sustainable low-carbon agricultural transformation: Quasi-natural evidence from China

Xiaoyu Chen, Xuexue Wu, Haohan Wang

Using 2003–2024 panel data from 30 Chinese provinces, this study treats National Ecological Civilization Demonstration Zones (ECDZ) as a quasi-natural experiment and estimates effects on agricultural carbon emission intensity (ACEI) via dou…

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Peer-reviewed🇪🇺 EuropeJournalSustainable Computing Informatics and Systems2026#Energy TransitionDOI

Wattnet: Matching electricity consumption with low-carbon, low-water footprint energy supply

María Castrillo Melguizo, Jaime Iglesias Blanco, Judith Sáinz-Pardo Díaz +1

Wattnet is an open-source tool that jointly assesses the carbon and water footprints of electricity consumption across Europe at 15-minute resolution, tracing cross-border flows. Comparing generation-based and consumption-based footprints f…

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