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.
Peer-reviewed🇪🇺 EuropeJournalZenodo (CERN European Organization for Nuclear Research)2026#BiodiversityDOI
Recognising Nature-based Solutions as Critical Infrastructure: Bridging the Implementation Gap. Evidence and Recommendations from Five European City Labs
Zahra Amirzada, Irina Pavlova
This policy paper examines how Nature-based Solutions (NBS) can be recognized and managed as critical infrastructure assets within European resilience, investment, and risk-governance frameworks. Drawing on evidence from five European City …
🌍 GlobalDatasetZenodo (CERN European Organization for Nuclear Research)2026#Carbon AccountingDOI
Dataset for "External Rating Coverage in the Voluntary Carbon Market"
Ngoc Tuan Tran
This dataset integrates Verra VCS project data with BeZero Carbon external ratings, providing a foundation for analyzing determinants of external rating coverage in the voluntary carbon market. It includes project attributes, ratings, and m…
Peer-reviewed🌍 GlobalJournalFrontiers in Computer Science2026#AI × ESGDOI
A Q-learning-assisted self-healing wireless sensor network for industrial carbon capture monitoring: a controlled HIL study
Abed Saif Ahmed Alghawli, Ali Raza, Suzan Hassan Bakhit +2
This study proposes a Q-learning-based routing and fault-recovery framework for CCS monitoring WSNs, integrating energy awareness. Evaluated on a 50-node HIL testbed, it reduced latency by 53.6%, improved recovery time by 65.9%, achieved 99…
Peer-reviewed🇨🇳 ChinaJournalJournal of Environmental Management2026#CCUSDOI
Coordinated global valorization of Pidgeon-process magnesium residues: Environmental risks, carbon capture, and electroconversion
Ren-yun Zhang, Yan Liu, Zhi-yu Fan +2
This paper evaluates environmental risks of Pidgeon-process magnesium residues and explores valorization via carbon capture and electroconversion. Effective use of residues can contribute to both waste management and CO2 reduction, enhancin…
Peer-reviewed🌍 GlobalJournalJournal of Cleaner Production2026#HydrogenDOI
Techno-economic and risk-adjusted assessment of PV–wind–hydrogen hybrid energy systems in Morocco: Towards cost-effective low-carbon electricity supply
Sara El Hassani, Fakher Oueslati, Firyal Latrache +3
This study assesses the techno-economic and risk-adjusted performance of PV-wind-hydrogen hybrid systems in Morocco, demonstrating cost-effective low-carbon electricity supply and the potential for integrating renewables with hydrogen.
🇺🇸 USADatasetZenodo (CERN European Organization for Nuclear Research)2026#CCUSDOI
Data for "Enhanced Rock Weathering for Low-Cost Carbon-Negative Sustainable Aviation Fuel" (Zhang et al. 2025, nature sustainability)
Bingguang Zhang, Yuan Yao
This dataset underpins a study on enhanced rock weathering (ERW) for low-cost carbon-negative sustainable aviation fuel (SAF). It provides data supporting an integrated approach that captures atmospheric CO2 in minerals while producing SAF,…
Peer-reviewedJournalInternational Journal of Sustainable Development and Planning2026#OtherDOI
Unlocking the Green Gap: How Trust Labels Ignite Social Lifestyles and Drive Low-Carbon Coffee Purchases in Emerging Markets
Abin Suarsa, Agus Sutandi, Iis Dewi Fitriani +4
This paper examines how trust labels and social lifestyles drive low-carbon coffee purchases in emerging markets, addressing the green gap between environmental attitudes and actual behavior. It offers insights for marketing strategies to p…
Peer-reviewed🇨🇳 ChinaJournalBioresource Technology2026#OtherDOI
Aromatic carbon from low-temperature biochar enhances bacterial phosphorus solubilization under saline-alkaline stress
Ziyi GE, Shiyun Gan, Jiayi Li +7
This study shows that aromatic carbon from low-temperature biochar enhances the activity of phosphate-solubilizing bacteria under saline-alkaline stress. It suggests potential for soil improvement and carbon sequestration through biochar ap…
Peer-reviewed🌍 GlobalJournalManagement & Sustainability An Arab Review2026#PolicyDOI
Managing resource rents for low-carbon sustainability: the moderating roles of green finance, education and governance in Asian economies
Ishtiaq Mainuddin, Partha Acharjee, Eva Chowdhury
Using panel data from 22 Asian countries (2001-2022), this study examines the resource rent-CO2 emissions nexus. Findings show that natural resource rents increase emissions, but green finance and governance quality moderate this effect. Ed…
Peer-reviewed🇨🇳 ChinaJournalJournal of Iron and Steel Research International2026#Energy TransitionDOI
Injection combustion characteristics of biochar and hydrogen: an experimental study toward low-carbon rotary-kiln pellet production
Jin-Hua Li, Min Gan, Xiaohui Fan +3
This experimental study investigates the injection combustion characteristics of biochar and hydrogen, aiming at low-carbon rotary-kiln pellet production. It evaluates the impact of hydrogen co-firing on combustion efficiency and emission r…
Preprint🇺🇸 USAarXiv (Cornell University)2026#AI × ESGDOI
Toward Equitable Low-Carbon Mobility: Fairness-Aware Demand Prediction for Expanding Bike-Sharing Systems
Man Luo, Yixuan Zhao
Bike-sharing is key for low-carbon urban mobility, but expansion faces cold-start prediction and equitable allocation challenges. FairGIN, a fairness-aware GNN, integrates expansion-simulated training, attention-based knowledge transfer, an…
🇨🇳 ChinaJournalFrontiers in artificial intelligence and applications2026#Carbon AccountingDOI
Construction of Low-Carbon Logistics Development Model and Evaluation System-A Case Study of Beiling-Tech Logistics
Long Zhang, Yixuan Liu, Jian Wang
This paper constructs an evaluation system for environmental, economic, and service performance based on the GLEC Framework and ISO 14083 for a Chinese logistics company. Using LCA, AHP, and transport mode optimization, it proposes a low-ca…
Peer-reviewed🌍 GlobalJournalTransportation Research Part D Transport and Environment2026#Energy TransitionDOI
Robust low-carbon ship routing under weather uncertainty: a distributional reinforcement learning approach
Turgay Battal
This paper applies distributional reinforcement learning to low-carbon ship routing under weather uncertainty. It proposes a method to reduce fuel consumption and emissions while ensuring robustness against weather variability, contributing…
Peer-reviewedCNJournalDOAJ (DOAJ: Directory of Open Access Journals)2026#Energy TransitionDOI
Low-carbon Application of Steel Slag Asphalt Concrete and its Stability Improvement Technology Status
Yuedong WU, Wen Lyu, Changsheng Yue +1
Steel slag, a byproduct of ironmaking, can replace natural aggregates in asphalt concrete, but its poor stability limits adoption. Carbonation and microbial enhancement technologies show promise, aligning with China's dual-carbon strategy. …
Peer-reviewed🇨🇳 ChinaJournalEngineering Applications of Artificial Intelligence2026#AI × ESGDOI
Generative artificial intelligence for automation design of low-carbon high-ductility engineered cementitious composites
Ren-Jie Wu, Hesong Jin, Boyang Liu +6
This paper proposes a generative AI approach to automate the mix design of low-carbon, high-ductility engineered cementitious composites (ECC). The AI optimizes material performance and carbon emissions, contributing to decarbonization in c…
Peer-reviewed🇪🇺 EuropeJournalNew Political Economy2026#Energy TransitionDOI
The rise of low-carbon industrialism: how the world economy is reconfigured through production, regulation, and space
E. W. Stapper
This article proposes 'low-carbon industrialism' as a conceptual tool to study the emerging planning order reorganizing capitalism. It argues that green industrial policy scholarship treats production, labor, regulation, and space partially…
Peer-reviewedJournalCurrent Opinion in Green and Sustainable Chemistry2026#Energy TransitionDOI
Advanced Biomass Densification and Combustion Techniques for Efficient Low-Carbon Solid Biofuel Generation
R. Jyoti, Nihal, Prerna Attri +1
This paper focuses on advanced biomass densification and combustion techniques to efficiently produce low-carbon solid biofuels. It aims to promote renewable biomass utilization and reduce greenhouse gas emissions by substituting fossil fue…
Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalFuel2026#Energy TransitionDOI
Microwave–ozone coupling enables catalyst-free low-temperature carbon oxidation
Zhihai Huang, Hisahiro Einaga
Researchers at Kyushu University developed a catalyst-free method for low-temperature carbon oxidation by coupling microwave and ozone. This technique significantly reduces energy consumption compared to conventional high-temperature proces…
Peer-reviewedJournalMezhdunarodnyi sel skokhozyaistvennyi zhurnal2026#Energy TransitionDOI
Substantiation of a green competitive strategy for agricultural machinery enterprises in the context of the agro-industrial complex transition to a low-carbon economic model
Ol'ga Ved'manova, Andrey Kozlov
This paper proposes a theoretical framework for green competitive strategy for agricultural machinery enterprises in the context of Russia's agro-industrial complex transition to a low-carbon economy. Integrating Porter's competitive advant…
Peer-reviewed🇨🇳 ChinaJournalMitigation and Adaptation Strategies for Global Change2026#OtherDOI
Drivers of residents’ low-carbon consumption intention: an integrated theoretical model
Hongxia Jing, Ratneswary Rasiah
This study proposes and tests an integrated theoretical model explaining residents' low-carbon consumption intention. It integrates psychological and social factors to identify drivers of low-carbon behavior, offering implications for polic…
