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 7501–7520 of 32575 papers

Peer-reviewed🇪🇺 EuropeJournalGeoscientific model development2026#Climate ScienceDOI

Representation of the nitrogen cycle and its coupling with the carbon cycle in ISBA (SURFEX v9) the land surface model: evaluation using two Free-Air CO 2 Enrichment experiment sites

Jeanne Decayeux, Bertrand Decharme, Romain Darnajoux +1

This paper presents the implementation of the nitrogen cycle in the ISBA land surface model and evaluates it using two FACE experiment sites. Including nitrogen improves NPP and carbon stock estimates, and reproduces the downregulation of p…

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Peer-reviewed🇨🇳 ChinaJournalJournal of Environmental Management2026#Carbon AccountingDOI

Allochthonous particulate organic carbon in blue carbon ecosystems: Implications for accounting, stability, and policy

Anirban Akhand, Inés Mazarrasa, Stacey M. Trevathan‐Tackett +10

A review of 102 studies finds that 56±25% of soil organic carbon in blue carbon ecosystems is allochthonous particulate organic carbon (POC). Including it in carbon accounting risks overestimation and double-counting, but its role in stabil…

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Peer-reviewed🌍 GlobalJournalReview of Financial Studies2026#Climate FinanceDOI

Carbon Emissions and the Bank-Lending Channel

Marcin Kacperczyk, José‐Luis Peydró

This paper studies how firm-level carbon emissions affect bank lending and real outcomes using global syndicated loan data. Exploiting bank climate commitments as shocks to lending relationships, it finds that high-emission firms borrowing …

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🇺🇸 USAJournalZenodo (CERN European Organization for Nuclear Research)2026#Climate RiskDOI

Reproducibility Code and Processed Data for "Equity-Aware Multi-Objective Optimization of Nature-Based Solutions for Flood Susceptibility Reduction"

Chibuike Chiedozie Ibebuchi

This package provides code and processed data for reproducing a study on equity-aware multi-objective optimization of nature-based solutions (tree planting, wetland restoration) for flood susceptibility reduction. It includes 4,079 Maryland…

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Peer-reviewedJournalINDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY2026#OtherDOI

Urban Farming as Nature-Based Solutions: Comparative Governance Models from Tangerang Regency, Indonesia

Rahmi Elsa Diana, Eduwin Eko Franjaya, Septi Maulidyah +5

This study compares three urban farming governance models (private, governmental, community-based) in Tangerang Regency, Indonesia, to assess their performance as Nature-Based Solutions (NbS). It finds that governance structures shape envir…

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Peer-reviewed🌍 GlobalJournalClimate and Development2026#Climate ScienceDOI

Gender, power, and tokenism in nature-based solutions to climate change

Stephanie Efua Yamoah, Hanson Nyantakyi‐Frimpong

Using qualitative data from Ghana, this study examines gendered participation in nature-based climate solutions (NbCS). It finds that participation is shaped by intersecting power dynamics (land tenure, wealth, leadership) and that organiza…

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Peer-reviewed🇨🇳 ChinaJournalLand Degradation and Development2026#Climate ScienceDOI

Afforestation Partially Offsets Losses of Soil Conservation Services and Carbon Stock From Direct and Indirect Urban Expansion in China

Shuai Liu, Ting Hua, Shurong Zhang +2

Quantifies the impacts of direct and indirect urban expansion on soil conservation services and carbon stock in China from 2000 to 2020. Indirect effects (cropland expansion under the Farmland Requisition-Compensation Balance policy) caused…

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Peer-reviewed🇨🇳 ChinaJournalIndustrial Crops and Products2026#CCUSDOI

Synergistic engineering of 2D morphology and ultramicropores in lignin-derived carbon nanosheets for high-performance CO2 capture and solar-driven regeneration

Xingyuan Lei, Xuelin Chen, Yanyan Hu +7

This study synthesizes lignin-derived carbon nanosheets via one-step co-pyrolysis, achieving high CO2 uptake (8.85 mmol/g at 273K) and good CO2/N2 selectivity. The material enables solar-driven regeneration, offering a low-energy carbon cap…

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Peer-reviewed🌍 GlobalJournalCatalysts2026#CCUSDOI

Integrated CO2 Capture and Circular Carbon Utilization Through Catalytic Conversion, Biomass Coupling, Hydrogen Integration, Mineralization, and Artificial Intelligence

Afsha Ali, Muhammad Kashif Khan, Farooq Ahmad +2

This review frames CO2 capture as part of an integrated carbon management system, covering catalytic conversion, biomass coupling, hydrogen integration, mineralization, and AI-assisted process design. It contrasts reactive capture with sequ…

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Peer-reviewed🇨🇳 ChinaJournalSustainability2026#AI × ESGDOI

Industrial Intellectual Property Upgrading Reform, Inclusive Potential of Regional Innovation Ecosystems, and Low-Carbon Green Energy Eco-Co-Evolution—A Machine Learning-Based Causal Inference Analysis

Yuzhi Wang, Cong Zhang

This study analyzes the causal effect of China's intellectual property pilot policy on low-carbon green energy eco-co-evolution (LCEE) using spatial Durbin DID and double machine learning. The inclusive potential of regional innovation ecos…

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Peer-reviewedJournalInternational Journal of Hydrogen Energy2026#HydrogenDOI

Surrogate-driven multi-objective optimization of sorption-enhanced steam methane reforming for cost-effective, low-carbon production of high-purity hydrogen

Wei‐Hsin Chen, Y.C. Chen, Jo‐Shu Chang +3

This study applies surrogate-driven multi-objective optimization to sorption-enhanced steam methane reforming (SE-SMR), targeting cost-effective and low-carbon production of high-purity hydrogen. It quantitatively evaluates trade-offs betwe…

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Peer-reviewedJournalTribologia - Finnish Journal of Tribology2026#OtherDOI

Application of SHapley Additive ExPlanation machine learning approach and ANNs to analyze friction phenomenon in low-carbon steel/tool steel contacts

Tomasz Trzepieciński, Marwan T. Mezher, Marek Kowalik +4

This study applies SHAP and neural networks to analyze friction parameters in sheet metal forming. Rape-seed oil showed best lubrication among vegetable oils. Surface roughness was the most important factor (35%). ML models can predict COF,…

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Peer-reviewed🇨🇳 ChinaJournalJournal of Water Process Engineering2026#Energy TransitionDOI

Biological treatment of food oily wastewater (FOW): A review of substrate characteristics, biodegradation pathways, process performance and low-carbon perspectives

Yuhan Wang, Lili Yang, Bing Liu +4

This review focuses on biological treatment of food oily wastewater (FOW), summarizing substrate characteristics, biodegradation pathways, and process performance, while exploring low-carbon perspectives. It highlights potential for energy …

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