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 5501–5520 of 27952 papers

Peer-reviewed🌍 GlobalJournalRisks2026#AI × ESGDOI

Predicting Credit Risk with ESG Factors Using XGBoost and Structural Learning in Vague Environments (SLAVE) in Commercial Banks

Jamil J. Jaber, A. A. Alkhawaldeh, Qusay Ayman Sulayman Mazahreh +3

This study predicts credit risk in commercial banks using machine learning (XGBoost) and a fuzzy rule-based model (SLAVE) on panel data from 40 banks across seven Middle Eastern countries (2014-2023). Regression results show profitability a…

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Peer-reviewedJournalICEETE Conference Series2026#Carbon AccountingDOI

The Role of Environmental Accounting and Carbon Emission Disclosure in Supporting Sustainable Transportation in Indonesia

Septiyani Putri Astutik, T. Trisanti, Atika Jauharia Hatta

This qualitative literature review of 54 articles examines the role of environmental accounting and carbon emission disclosure in Indonesia's transportation sector. It finds that environmental accounting helps identify environmental costs a…

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Peer-reviewedJournalE3S Web of Conferences2026#OtherDOI

The “Cage-and-Fiber” Mechanistic Model: Synergistic Sorption Kinetics of Hybrid Corn Cob–Peat Moss Lignocellulosics in Emulsified Oil-Water Matrices

Ireneo G. Mateo, Ben Angelo S. Casaclang, Lizzee Joy L. Lopez +2

This study demonstrates that a 75:25 hybrid of corn cob and peat moss achieves high oil recovery efficiency (92.4%) for maritime oil spill remediation. It proposes a novel 'Cage-and-Fiber' model explaining the synergistic effect of porous a…

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Peer-reviewedJournalProceedings of the Institution of mechanical engineers. Part A, journal of power and energy2026#HydrogenDOI

Directly engineered green hydrogen production by water splitting reaction powered by geothermal source: A thermodynamic and mechanistic breakthrough

Roshni Kumari, Dipti Chaudhary, Anirbid Sircar

This study proposes a novel integration of geothermal power with alkaline electrolysis for green hydrogen production. A transition metal-based electrode system enhances HER kinetics, achieving 99.999% hydrogen purity. Techno-economic analys…

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Peer-reviewedJournalApplied Energy2026#Energy TransitionDOI

Reliability-constrained optimal sizing and energy management of off-grid PV–battery–green hydrogen microgrids for industrial energy autonomy

Ahmad K. ALAhmad, H. Mokhlis, S. Mekhilef +5

This paper proposes a method for optimal sizing and energy management of off-grid PV-battery-green hydrogen microgrids under reliability constraints, aiming for industrial energy autonomy. It balances renewable integration, hydrogen use, an…

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