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 981–1000 of 4132 papers

Peer-reviewed🇨🇳 ChinaJournalFuel2026#Energy TransitionDOI

Thermodynamic analysis and carbon footprint analysis of the system performance for supercritical water gasification of rice straw with different target products

Qinxuan Nie, Jie Tan, Xiaojuan Guo +6

This study analyzes the thermodynamic performance and carbon footprint of supercritical water gasification of rice straw for different target products (e.g., hydrogen, methane). It evaluates the efficiency and environmental impact of biomas…

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Peer-reviewed🇨🇳 ChinaJournalJournal of Environmental & Earth Sciences2026#AI × ESGDOI

Circular Logistics Engineering: Minimizing Waste and Carbon Footprint

Qing Wang

This review systematically explains the concept of circular logistics, integrating circular economy principles into logistics engineering to minimize waste and carbon footprint. It clarifies differences from traditional logistics and presen…

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🌍 GlobalDatasetZenodo (CERN European Organization for Nuclear Research)2026#Climate ScienceDOI

How disturbances are shaping global forest carbon dynamics

Yidi Xu

This paper provides scripts for assessing the impact of disturbances (fire, logging, pests) on global forest carbon budgets. It enables modeling of carbon dynamics with disturbances, improving projections of forest carbon sinks.

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Peer-reviewedCNJournalJournal of Sustainable Development2026#AI × ESGDOI

The Influence Mechanism of AI Entrepreneurship on Carbon Emissions

Yuanyang Guo, Liqi Xu, Miaoxi Gu

Using panel data from Chinese cities (2008-2023), this study empirically examines how AI entrepreneurship affects carbon emission intensity. It finds an inverted U-shaped relationship: early expansion increases emissions, but after a thresh…

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Peer-reviewed🇪🇺 EuropeJournalAnnals of Botany2026#Carbon AccountingDOI

An assessment of the suitability of current evidence on European wild seaweed ecosystems for blue carbon accounting

Ana Julieth Calderón Márquez, Beatrice Smyth, Dan A Smale +2

This review evaluates 16 empirical studies on European wild seaweed ecosystems against three criteria: permanence, MRV feasibility, and net climate benefit. It finds no evidence meets policy-grade accounting standards, supporting a precauti…

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🌍 GlobalDatasetZenodo (CERN European Organization for Nuclear Research)2026#Climate ScienceDOI

Allochthonous Particulate Organic Carbon in Blue Carbon Ecosystems

Anirban Akhand, Inés Mazarrasa, Stacey Trevathan-Tackett +9

This dataset compiles 434 estimates of allochthonous particulate organic carbon (POC) contribution to sedimentary carbon stocks in seagrass, saltmarsh, mangrove, and tidal freshwater wetlands from global literature. It includes source track…

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Peer-reviewed🌍 GlobalJournalJournal of Asia Entrepreneurship and Sustainability2026#AI × ESGDOI

<b>Carbon Credits: Climate Solution or Greenwashing Tool? A Mixed-Methods Analysis of Public Discourse and Market Trends</b><b></b>

Jolly Masih, Dinesh Yadav, Sanskriti Singh +3

This study examines whether carbon credits are credible climate solutions or greenwashing, focusing on the gap between institutional narratives and public discourse. Using mixed methods including VADER sentiment analysis, Google Trends, Tal…

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Peer-reviewed🇪🇺 EuropeJournalInternational journal of greenhouse gas control2026#CCUSDOI

Gradient-based nonlinear model predictive control enabling demand-side management for adsorption-based direct air carbon capture

Sebastian F. Henzler, Daniel Rezo, Patrik Postweiler +2

This study implements real-time capable economic nonlinear model predictive control (eNMPC) for adsorption-based direct air carbon capture (DACCS) to reduce electricity costs via demand-side management. By using a smoothing approach for dir…

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Peer-reviewed🌍 GlobalJournalJournal of Emerging Science and Engineering2026#Energy TransitionDOI

Establishing robust low-carbon power networks: A structured bibliometric-informed review of energy storage solutions and regulations (2023–2025)<b></b>

Ali Fadiel, Ali Osman Büyükköse, Rakesh Choudhary

A structured bibliometric review of energy storage technologies and policies (2023-2025). Lithium-ion dominates short-duration services, while sodium-ion, flow batteries, hydrogen, and others address diverse needs. For MENA, portfolio-based…

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🌍 GlobalJournalResearch in Transportation Economics2026#Energy TransitionDOI

Public procurement of low-carbon transport: A systematic review and conceptual framework of enablers, constraints, and intervention pathways

Joanna Bardelosa Ervik, Deodat Mwesiumo, Nina Pereira Kvadsheim +1

This paper systematically reviews literature on public procurement of low-carbon transport and proposes a conceptual framework of enablers, constraints, and intervention pathways. It highlights the role of public procurement as a policy lev…

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🌍 GlobalJournalEnvironmental footprints and eco-design of products and processes2026#AI × ESGDOI

Roadmap for AI-Powered Circular Value Chains for Carbon Neutrality and Corporate Sustainability in Emerging Economies

Sanjana Santra, Kishore Kumar, Ankita Sharma

This paper proposes a roadmap for AI-powered circular value chains to achieve carbon neutrality and corporate sustainability in emerging economies. It integrates AI technologies with circular economy principles to enhance resource efficienc…

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Peer-reviewed🇪🇺 EuropeJournalSustainability2026#Energy TransitionDOI

Use of the Spatial Economic Benefit Analysis (SEBA) for Marine Spatial Planning: A Case Including Offshore Wind Energy and Fisheries in France

Lokesh Pawar, Bertrand Le Gallic, Jorge Ramos

This study applies the SEBA framework to offshore wind and fisheries in the French North Atlantic–Western Channel, revealing uneven employment distribution (Gini 0.59 vs 0.42) and co-location of fishery revenue and wind firms (ρ=0.90). It o…

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