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 2081–2100 of 37257 papers

🇪🇺 EuropeJournalLecture Notes in Mobility2026#EV & TransportDOI

Stakeholder Perspectives in Building and Deployment of Megawatt Charging Systems to Support the Decarbonization of the Heavy-Duty Transport in Europe

Alice Scotti, Khalis Sinaga, Stefanie Van Damme +7

This study systematically reviews stakeholder perspectives on megawatt charging systems (MCS) for heavy-duty transport decarbonization in Europe, drawing on surveys and interviews from EU projects FLEXMCS and MACBETH. It shows that views di…

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Peer-reviewed🇺🇸 USAJournalEnvironmental Science & Technology2026#CCUSDOI

Small Modular Electrochemical Containers for Decarbonization of AI Data Centers

Ahmad Hassan, Prince Aleta, Mohsen Afshari +2

This study evaluates Small Modular Electrochemical Containers (SMECs) applying a membraneless two-stage electrochemically mediated amine regeneration process for compact carbon capture at AI data centers. Single-cell tests achieved ~90% abs…

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Peer-reviewedJournalПідприємництво та інновації2026#Energy TransitionDOI

STRATEGIC MANAGEMENT OF THE TRANSFORMATION OF THE GLOBAL ENERGY SECTOR: ANALYSIS OF INTERNATIONAL TRENDS IN NUCLEAR ENERGY IN THE CONTEXT OF GLOBAL DECARBONISATION

А.Р. Дунська, М.С. Шелест

This paper analyzes energy-sector transformation and nuclear energy's role in global decarbonization. It reviews EU and leading-country nuclear strategies, reactor cost overruns, and small modular reactors as alternatives to large reactors.…

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Peer-reviewedJournalProcesses2026#HydrogenDOI

Thermochemical Biomass Conversion for Sustainable Hydrogen Production: A Review of Techno-Economic Performance and Decarbonization Potential

Cristian Laverde-Albarracín, Sergio Nogales-Delgado, Juan Félix González-González +2

A PRISMA-based systematic review of 111 core studies on thermochemical biomass-to-hydrogen pathways, with gasification showing the strongest maturity evidence. Unlike prior technology-focused reviews, it emphasizes deployment economics—LCOH…

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Peer-reviewedJournalClean Technologies and Environmental Policy2026#Scope 1/2DOI

Operational decarbonization in a fruit juice plant: relationship between overall equipment effectiveness and Scope 1–2 carbon emissions through green–lean production

Dila Beşen, Murat Reis Akkaya

An empirical study linking overall equipment effectiveness (OEE) to Scope 1–2 emissions in a fruit juice plant through a green-lean production lens. It examines whether equipment-efficiency gains can align with operational decarbonization, …

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Peer-reviewedConferenceProceedings SPE Annual Technical Conference and Exhibition1977#Renewable EnergyDOI

Geothermal reservoir modelling

Coats K.H.

A study on geothermal reservoir modelling. Without an abstract, details are unclear, but it likely addresses technical methods for resource assessment and development planning of geothermal power. It contributes indirectly to decarbonizatio…

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Peer-reviewedConferenceProceedings of 2025 3rd International Conference on Internet of Things and Cloud Computing Technology Iotcct 20252025#Carbon PricingDOI

Prediction of Carbon Emission Trading Prices Based on a Combination Model

Yang W.

A study predicting carbon emission trading prices using a combined (ensemble) model. It appears to propose a method for improving carbon market price forecasting accuracy, though details are unavailable without an abstract. Price forecastin…

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Peer-reviewedConference2008 5th International Conference on the European Electricity Market Eem2008#AI × ESGDOI

An ANN-based risk assessment method for carbon pricing

Mori H.

Proposes an artificial neural network (ANN) method for assessing carbon pricing risk. It appears to apply machine learning to quantify how carbon price movements create risk for firms and investors. Empirical results are unverified as no ab…

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