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 3901–3920 of 31536 papers

DatasetZenodo (CERN European Organization for Nuclear Research)2026#Carbon AccountingDOI

Data and code for "From reported rates to auditable evidence: An evidence audit of mangrove sediment carbon accumulation for blue-carbon MRV"

Rong Wang, Yining Chen, Gongbo Ma +2

This repository provides data and code for an evidence audit of mangrove sediment carbon accumulation rates, supporting blue-carbon MRV. It includes a deep audit of 55 publications and case demonstrations (C24, SD-8), with data under CC BY …

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Peer-reviewed🌍 GlobalJournalInternational Journal of Hydrogen Energy2026#HydrogenDOI

Highly dispersed Ru@Carbon quantum dots for efficient hydrogen generation from sodium and potassium borohydride hydrolysis

Selma Ekıncı, Ömer Şahin, Zeliyha Çelik +2

This study reports highly dispersed Ru nanoparticles on carbon quantum dots as catalysts for efficient hydrogen generation from hydrolysis of sodium and potassium borohydride. The high dispersion enhances catalytic activity and stability, p…

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Peer-reviewed🇪🇺 EuropeJournalCommunications Earth & Environment2026#Carbon PricingDOI

Crediting temporarily bound carbon reduces emissions and costs in integrated production of EU refineries

Simon L. Bussmann, Wolfgang Männer, Tobias Fleiter +3

This study analyzes the impact of crediting temporarily stored carbon in plastic products within carbon pricing schemes on integrated EU refinery production. Using an optimization model for 2050, it shows that such crediting significantly r…

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Peer-reviewed🇪🇺 EuropeJournalJournal of Water Resources Planning and Management2026#Climate RiskDOI

Hybrid Sensitivity Analysis of Soil Hydraulic Parameters in Nature-Based Solution Coupling Hydrus-1D Simulations with Data-Driven Interpretation

Anna Chiara Brusco, Michele Turco, Patrizia Piro

This study proposes an integrated framework to predict hydrological response of substrates in urban nature-based solutions (NBS), combining HYDRUS-1D simulations with machine learning and statistical analysis. Monte Carlo simulations identi…

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Peer-reviewed🇪🇺 EuropeJournalLand2026#climate_adaptationDOI

Integrating Collaborative Governance and Environmental Performance Assessment for Nature-Based Solutions: The euPOLIS Experience in Palermo

Ferdinando Trapani, Simona Colajanni, Luisa Lombardo

This study analyzes the application of the euPOLIS methodology for Nature-Based Solutions (NBS) in Palermo, Italy, focusing on the transformation of Villa Turrisi. It evaluates two alternative scenarios using environmental indicators (carbo…

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Peer-reviewed🌍 GlobalJournalJournal of the University of Ruhuna2026#Climate FinanceDOI

Climate Change Finance and Carbon Offsets: Addressing Global Climate Challenges through Innovative Funding and Emissions Reduction Mechanisms

Monday Sunday Adiaha

This study analyzes the structure and sufficiency of global climate finance flows against Paris targets, finding 2019 flows of $579B insufficient, with private investment concentrated in renewables and public finance foundational but limite…

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Peer-reviewedJournalJournal of Cleaner Production2026#CCUSDOI

Smart carbon capture: Leveraging LSTM networks for hourly CO2 flow prediction in an industrial stack of a CO2 recovery plant

Peyvand Valeh‐e‐Sheyda, Hamed Rashidi, Pouria Heidarian +1

This paper proposes an LSTM-based approach for predicting hourly CO2 flow rates in an industrial stack of a CO2 recovery plant. Improved prediction accuracy can optimize CCUS operations and enhance emission reduction efficiency. A practical…

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Peer-reviewedJournalCleaner Engineering and Technology2026#CCUSDOI

Sustainable Ionic Liquid Functionalized Activated Carbon for Enhanced CO2 Capture: Integrated Textural Properties, Adsorption Performance and Isotherms

Farheen Suleman, Azry Borhan, Sajid Muhbat +3

This paper develops ionic liquid-functionalized activated carbon for enhanced CO2 capture, integrating textural properties, adsorption performance, and isotherm analysis. It demonstrates the potential of sustainable materials for CO2 captur…

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🌍 GlobalJournalKing Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology)2026#CCUSDOI

Carbon Capture Through Mesolite Mineralization: Experimental Study and Geochemical Assessment

Faris M. Alotaibi

This study experimentally evaluates mesolite, a natural zeolite, for CO2 mineralization. Batch experiments at 60°C show mesolite promotes calcite precipitation, achieving up to 0.17 wt% carbon uptake over 100 days. PHREEQC simulations confi…

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Peer-reviewed🇪🇺 EuropeJournalMicroporous and Mesoporous Materials2026#CCUSDOI

Tuning the Porosity of Porous Organic Polymers for Carbon Capture Applications

Laura Matesanz-Niño, Adrián G. del Campo, Aránzazu Martínez‐Gómez +6

This study explores tuning the porosity of porous organic polymers for CO2 capture. By optimizing pore size and surface chemistry, it aims to enhance CO2 adsorption capacity. The materials science advances could contribute to efficient carb…

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Peer-reviewed🇨🇳 ChinaJournalSustainability2026#Climate ScienceDOI

From Feeder-Trip Counts to Occupied Feeder Vehicle-Kilometers: Evaluating Directional Feeder Activity and Occupied-Phase CO2 for Low-Carbon Sustainability Assessment at Peripheral Metro Stations

Xianlin Li, Bin Lv, Binbin Hao +2

This study evaluates feeder taxi activity at peripheral metro stations in Lanzhou using occupied vehicle-kilometers traveled (VKT) and CO2 emissions instead of trip counts. Using June 2023 data, it shows directional patterns and station ran…

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