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 421–440 of 30942 papers

Peer-reviewed🇨🇳 ChinaJournalSustainability2026#Climate FinanceDOI

The Incremental Predictive Value of Corporate Carbon Performance Indicators for Financial Distress: Evidence from Carbon-Intensive Chinese A-Share Firms

Xuân Hưng Nguyễn, Maojie You

Using panel data from Chinese A-share firms in eight carbon-intensive industries (2012–2025), this study tests whether carbon performance indicators improve out-of-sample prediction of financial distress (ST designation two years ahead) bey…

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Peer-reviewedJournalJournal of Energy Storage2026#Energy TransitionDOI

Bi-level cloud computing for spatial banking of sustainable mobile energy storage logistics fleet in renewable-dominated carbon-constrained urban grid

Amir Mohammadian, Abdolmajid Dejamkhooy, SeyedJalal SeyedShenava +2

This study develops a bi-level scheduling framework for urban integrated energy systems where a cluster coordinator allocates a mobile energy storage logistics fleet, inter-system transfers, carbon trading, and green-certificate transaction…

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Peer-reviewed🇺🇸 USAJournalNature2026#Carbon AccountingDOI

Agricultural liming is a carbon sink in the Mississippi River Basin

Tim Jesper Suhrhoff, Christopher T. Reinhard, Yoshiki Kanzaki +8

Century-scale records for the Mississippi River Basin show agricultural liming has been a net carbon sink, with ~90% of the ideal CO2 removal potential (~0.44 GtCO2) realized at catchment scale with a decadal lag. Current accounting framewo…

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Peer-reviewed🇪🇺 EuropeJournalATHENS JOURNAL OF HEALTH & MEDICAL SCIENCES2026#Climate ScienceDOI

Organizing Green Nature-Based Solutions in Cities for Older Adults and Populations with Chronic Conditions: A Microclimatic Bioenergetic Assessment

Letizia Cremonini, Teodoro Georgiadis

This study assesses how urban Green Nature-Based Solutions (GNBS) protect older adults and chronic-disease populations during heatwaves, using microclimatic simulation and an adapted 6-Minute Walk Test in Bologna, Italy. A 35% tree-canopy e…

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Peer-reviewedJournalJournal of Environmental Management2026#CCUSDOI

Effect of hydrothermal and deep eutectic solvent solvothermal pretreatments on the structural evolution of corncob-derived activated carbons for enhanced hydrogen storage and CO2 capture

Massoud Momeni, Seyyed Arash Haddadi, Salman Soltanian +4

This study compares hydrothermal and deep eutectic solvent (DES) solvothermal pretreatments on corncob-derived activated carbons, tracking how each route shapes pore structure and surface chemistry. Pretreatment conditions govern structural…

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Peer-reviewed🌍 GlobalJournalJournal of environmental chemical engineering2026#CCUSDOI

Life cycle assessment of carbon capture and utilization techniques for iron and steel making by integrated blast furnace-basic oxygen furnace route

Vishal D. Khomane, Rohit B. Meshram, Nawshad Haque +1

This study applies life cycle assessment to evaluate carbon capture and utilization (CCU) techniques integrated into the blast furnace-basic oxygen furnace (BF-BOF) steelmaking route. It quantifies the environmental performance and limitati…

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Peer-reviewedJournalEnergy Conversion and Management2026#Energy TransitionDOI

Regional technoeconomic and life-cycle carbon assessment of direct air capture–based power-to-liquid sustainable aviation fuel production

Mahmoud Kiannejad Amiri, Mohammad Moosazadeh, Usama Ali +2

This study assesses the regional technoeconomics and life-cycle carbon emissions of producing power-to-liquid sustainable aviation fuel (SAF) from direct air capture (DAC) CO2 and renewable hydrogen. It highlights how costs and carbon-reduc…

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Peer-reviewedJournalApplied Energy2026#Energy TransitionDOI

Agri-LLM forecaster: A physics-semantics-guided large language model for zero-shot load forecasting in low-carbon integrated agricultural energy systems

Lin Zhu, Xiaoqing Ji, Dechang Yang +3

This paper proposes a physics- and semantics-guided large language model (LLM) for zero-shot load forecasting in low-carbon integrated agricultural energy systems. It aims to enable accurate demand prediction in data-scarce agricultural ene…

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Peer-reviewedJournalJournal of Cleaner Production2026#Energy TransitionDOI

Bi-objective pareto low-carbon automatic demand response of energy-intensive enterprises accommodating users’ electricity consumption habits and behaviors

Xiaoshun Zhang, Jiapan Di, Zhengxun Guo +1

This study formulates a bi-objective Pareto optimization for low-carbon automatic demand response (ADR) in energy-intensive enterprises that explicitly incorporates users' electricity consumption habits and behaviors. It addresses the trade…

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Peer-reviewed🌍 GlobalJournalInternational Review of Economics & Finance2026#Climate FinanceDOI

Does Digital Finance Adoption Promote Households’ Low-Carbon Lifestyle? Evidence from Indonesia

Christina Irawadi, Djoni Hartono, Jahen F. Rezki +1

Using nationally representative SUSENAS data (2022–2024, >1M households) and a CLA-EEIO framework with 2SLS/DML-IV, this study finds digital finance adoption raises Indonesian household carbon emissions, driven by indirect emissions in purc…

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Peer-reviewedJournalRenewable and Sustainable Energy Reviews2026#Energy TransitionDOI

AI-driven multi-objective optimization and multi-criteria decision-making for integrated energy systems for low-carbon transitions: A critical review and perspective

Yitong Dong, Jiashu Kong, Pow‐Seng Yap +1

This critical review examines how AI-driven multi-objective optimization and multi-criteria decision-making are applied to integrated energy systems for low-carbon transitions. It synthesizes methods for designing and operating renewables-h…

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