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 28694 papers

Peer-reviewedJournalJournal of Marine Science and Engineering2026#Energy TransitionDOI

Techno-Economic and Decarbonisation Assessment of Small Modular Reactor Propulsion for Large Container Ships Under the IMO Net-Zero Framework

Tae-Youl Jeon, Young-Chan Lee

A stochastic model endogenising the IMO Net-Zero Framework's two-tier compliance mechanism assesses SMR propulsion for a 15,000 TEU container ship over 25 years. The SMR abates 96.6% of life-cycle emissions, but its cost versus the best con…

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Peer-reviewed🇪🇺 EuropeJournalStreet Art & Urban Creativity2026#Energy TransitionDOI

MACHINE LEARNING FOR URBAN HEATING VECTOR ESTIMATION TO SUPPORT CITY DECARBONIZATION

Elena Usobiaga Ferrer, Manuel Benito, Aitor Goitia +1

Using open cadastral, census, and EPC data from Spain, XGBoost classifiers predicted residential heating energy vectors. Spatially aware models reached up to 73.6% accuracy, with neighbour energy probabilities providing the largest gain. Tr…

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Peer-reviewed🇪🇺 EuropeJournalMining2026#Energy TransitionDOI

Changes in the Development of Preparatory Roadway Excavations in Polish Mines Associated with the Economic Decarbonization Process

Andrzej Chmiela, Beata Barszczowska, Olena Trokhymets +1

Poland, the EU's largest hard coal producer, faces declining coal demand amid decarbonization but still needs coal to stabilize its power grid during transition. This paper statistically analyzes changes in preparatory roadway excavation pa…

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Peer-reviewed🌍 GlobalJournalRevista De Gestao Social E Ambiental2024#ESGDOI

ESG DISCLOSURE BY BRAZILIAN PUBLIC COMPANIES

Dal-Ri Murcia F.

A study on ESG disclosure practices among Brazilian listed companies. Without an abstract, specifics are unclear, but it likely examines disclosure patterns and gaps in an emerging market, offering a non-OECD perspective on the global conve…

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🌍 GlobalConferenceInternational Conference on Information Management and Technology2026#AI × ESGDOI

Integrating Econometrics and Machine Learning: ESG-Financial Performance Nexus in FTSE Developed ESG Index

Randy Adhiputra, A. A. S. Gunawan, Ferry Hadiyanto

Using two-way fixed-effects panel regression and tuned tree-based ML ensembles on FTSE Developed ESG Index firms (2016-2025), this study finds ESG positively associated with Tobin's Q, marginally with ROA, and not with ROE, with effects con…

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Peer-reviewedJournalVolume 10: Blue Economy Symposium; Specialty Symposium on OTEC and Correlate Devices; Smart and Sustainable Maritime Systems2026#Energy TransitionDOI

Risk-Based Design Approval Framework for Dual Fuel LNG Retrofits in Aging Fleets: An Indonesian Maritime Case Study

M. R. F. Hariadi, M. A. Kurniawan

Aging domestic fleets face compliance gaps for LNG dual-fuel retrofits when manufacturer documentation is unavailable. This paper proposes a risk-based design approval framework demonstrating functional safety equivalence via hazard analysi…

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Peer-reviewedJournalJournal of Progress in Artificial Intelligence2026#AI × ESGDOI

The impact of governance complementarity and artificial intelligence on sustainable financial reporting quality in commercial banks in emerging economies

S. B., Vijaya Maheswari Velala, Ahmad Azhar +2

Using survey data from Indian commercial banks, this study examines how corporate governance, internal audit quality, and AI adoption jointly affect sustainable financial reporting quality. Internal audit quality and governance are positive…

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Peer-reviewedJournalResearch on Engineering Structures and Materials2026#AI × ESGDOI

Interpretable machine learning-based sustainability and sensitivity evolution analysis of ceramic waste concrete

B. T, Sabarigiri Selvaraj, Tamil Priyan R. K. B +3

This study evaluates sustainable concrete using ceramic waste and powder to partially replace coarse aggregates (0-100%) and cement (0-35%). At 35% cement replacement, 28-day compressive strength dropped only ~2.5% while embodied CO2 emissi…

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