gxceed
GX Research Hub · English

GX & Decarbonization Research

This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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 1281–1300 of 10986 papers

🌍 Global📚 Peer-reviewed · JournalAnnals of The Royal College of Surgeons of England2026#Carbon AccountingDOI

The NHS carbon footprint of paediatric tonsillectomies

O Turner, S Elhag, H Ismail-Koch +1

This study calculates the carbon footprint of single-use non-recyclable waste from paediatric coblation tonsillectomy and adenotonsillectomy in the NHS. Average waste per procedure: 1.13 kg, emitting 4.36 kg CO2e. Annually, ~867 kg CO2e fro…

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🇨🇳 ChinaDatasetScienceDB2026#AI × ESGDOI

AI-Hire and carbon performance

Wenqi Liao

This dataset examines the link between AI hiring intensity and corporate carbon performance using firm-level panel data. It includes variables on AI exposure, policy adoption, and workforce composition to explore how AI integration shapes f…

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🇺🇸 USA📚 Peer-reviewed · JournalJournal of Sedimentary Research2026#CCUSDOI

Sedimentological controls on reservoir heterogeneity in the eolian Entrada Sandstone: implications for geologic carbon storage

Scott Melnyk, Lauren P. Birgenheier, Michael D. Vanden Berg +3

This paper evaluates sedimentological controls on reservoir heterogeneity in the Jurassic Entrada Sandstone for geologic carbon storage. It identifies four architectural elements (large compound dunes, small compound dunes, simple dunes, da…

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🇺🇸 USA📚 Peer-reviewed · JournalFrontiers in Soil Science2026#OtherDOI

Spatiotemporal variation in soil carbon-to-nitrogen and carbon-to-hydrogen ratios: a case study from agricultural farmlands in Southern Texas, USA

Matthew C. Enebe, Richard W. Griffin, Ram L. Ray +6

This study investigated spatiotemporal variation in soil C:N and C:H ratios in agricultural farmlands in Southern Texas. Results showed higher carbon content in topsoil, with C:N and C:H ratios following similar patterns. Soil pH in the opt…

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📚 Peer-reviewed · JournalMUST Journal of Research and Development.2026#AI × ESGDOI

Application of Artificial Intelligence in Clean Cooking Energy Technologies for Enhancing Access to Carbon Credits in Tanzania

Samson Mwakapoma, Bertha Mwaituka, Ally Ngulugulu

This study explores the use of AI in clean cooking technologies in Tanzania to improve system performance and access to carbon credits. Key AI functions include real-time monitoring, predictive maintenance, user behavior analysis, and AI-ba…

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🇨🇳 China📚 Peer-reviewed · JournalAIP Advances2026#CCUSDOI

Integrated direct dimethyl ether synthesis process based on internal cycle of CO2: Technical economy and multi-criteria evaluation for carbon capture, utilization, and storage

Yue Wang, Hossein Babaei

This study investigates a carbon-integrated direct DME production system using internal CO2 looping as a thermodynamic design variable. Ten configurations at 5000 MTPD capacity were evaluated with two H2/CO ratios and controlled CO2 recycli…

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📚 Peer-reviewed · JournalEnergy2026#CCUSDOI

Thermodynamic and economic analysis of a novel biomass oxy-fuel combustion system for power and methanol cogeneration with cryogenic carbon capture and purge gas recycle

Zhicong Wu, Junxian Wu, Fenglin Zhang +1

This paper presents a thermodynamic and economic analysis of a novel biomass oxy-fuel combustion system that co-produces power and methanol, incorporating cryogenic carbon capture and recycle of purge gas. The study evaluates efficiency and…

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📚 Peer-reviewed · JournalInternational Journal of Science and Research Archive2026#CCUSDOI

Synthesis, Characterization and CO₂ Adsorption Performance of a Novel POM-132@MOF-5 Composite for Carbon Capture Applications

Tehseen Ullah, Sadiq ur Rahman, Sumayya Fayyaz +1

This study synthesized a novel POM-132@MOF-5 composite for CO₂ capture. Characterization via FTIR, XRD, SEM, and EDS confirmed successful integration. CO₂ adsorption tests at 273 K and pressures from 0.5 to 2.5 bar showed a capacity of 25 m…

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🌍 Global📚 Peer-reviewed · JournalJournal of Applied Phycology2026#Carbon AccountingDOI

Seaweed form as a carbon capture proxy: surface area-to-volume ratio as a general predictor of marine macroalgae productivity

João P. G. Machado, Vinícius P. de Oliveira

This study tested whether surface area-to-volume ratio (AV) predicts primary productivity and carbon capture across 11 tropical macroalgal species. AV strongly correlated with net and gross primary productivity (NPP, GPP), explaining 57-65%…

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🇺🇸 USA📚 Peer-reviewed · JournalIndustrial & Engineering Chemistry Research2026#CCUSDOI

Designing a Robust MEA-Based Post-Combustion Carbon Capture Process with Capture Rate Guarantees

Jason A. F. Sherman, Anca Ostace, Douglas A. Allan +1

This work applies robust optimization (PyROS) to design a monoethanolamine-based post-combustion carbon capture process under uncertainty. It achieves risk-averse designs for CO2 capture rates from 90% to over 99%, with solutions up to 98% …

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📚 Peer-reviewed · JournalGreen Carbon2026#AI × ESGDOI

The AI Revolution in Carbon Capture, Utilization, and Storage

Hang Yang, Hongli Diao, Shibin Xia

This paper discusses how AI technologies revolutionize carbon capture, utilization, and storage (CCUS). Machine learning and optimization algorithms enable efficient CO2 capture, storage site selection, and process monitoring. It highlights…

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📚 Peer-reviewed · JournalSustainable Energy Technologies and Assessments2026#Energy TransitionDOI

A SAFE reinforcement learning approach for low-carbon community energy cooperative management considering electric vehicle charging satisfaction

Shouxiang Wang, Fayang Tian, Xuan Zhang +3

This paper proposes a reinforcement learning approach for cooperative energy management in low-carbon communities, incorporating electric vehicle charging satisfaction to achieve sustainable operations.

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🇨🇳 China📚 Peer-reviewed · JournalSustainability2026#Energy TransitionDOI

How Does E-Commerce Development Affect Urban Low-Carbon Transition: New Insights from China’s E-Commerce Demonstration Pilot Zones

Jiarui Hu, Yuchen Yan, Xianpu Xu

Using a panel dataset of 283 Chinese cities from 2006-2022, this study employs a multi-stage DID approach to analyze how the National E-commerce Demonstration City Pilot Policy (NEDCP) affects urban carbon emissions. Results show significan…

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📚 Peer-reviewed · JournalSustainable Cities and Society2026#Carbon AccountingDOI

Towards low-carbon cities: high-resolution mapping of building-stock carbon emissions with planning indicator based diagnosis under spatial heterogeneity

Mei Dou, Liu Yang, Yuhao Qiao +1

This study proposes a high-resolution mapping method for building-stock carbon emissions. By considering spatial heterogeneity and using planning-indicator-based diagnosis, it provides concrete measures towards low-carbon cities. The findin…

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