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.
DatasetZenodo (CERN European Organization for Nuclear Research)2026#Climate RiskDOI
Data for: Blue carbon prioritization may underrepresent flood-exposed populations in Vietnam's mangrove areas
Thuy Hao Ngo
This dataset supports the analysis of blue carbon prioritization in Vietnam's mangroves, integrating carbon stocks and flood exposure. It includes national carbon stock layers, flood-exposed population layers, and priority maps under differ…
Peer-reviewed🇨🇳 ChinaJournalChemical Engineering Science2026#Energy TransitionDOI
High-performance hard carbon anodes for sodium-ion batteries derived from green solvent treatment of industrial lignin
Yingyi Zhong, Manjia Lu, Yingying Zhao +5
This study develops high-performance hard carbon anodes for sodium-ion batteries by treating industrial lignin with green solvents. It valorizes lignin waste, offering a sustainable material for energy storage.
Peer-reviewed🌍 GlobalJournalEnergy Sustainable Development/Energy for sustainable development2026#Energy TransitionDOI
Technoeconomic and environmental assessment of biogas energy recovery in wastewater treatment plants considering carbon credit
Iara Campolina Dias Duarte, Diego Henrique de Souza Chaves, Esly Ferreira da Costa +1
This study evaluates three biogas recovery pathways in WWTPs: thermal drying, electricity generation, and combined heat and power. S2 achieves highest electricity and GHG reductions but lowest economic performance; S1 shows best economics (…
Peer-reviewedJournalJournal of Climate Change and Pollution2026#climate_adaptationDOI
Climate Change Adaptation and Nature-Based Solution using Local Bluish Stone in Construction to achieve SDGs: A Case Study from District Zhob, North-West Balochistan, Pakistan
Safar Muhammad Babar
This case study evaluates traditional construction using locally sourced bluish stone in District Zhob, Pakistan, as a climate adaptation strategy. Stone buildings maintain indoor temperatures below 20°C in summer, reducing fuelwood depende…
Peer-reviewed🇪🇺 EuropeJournalEuropean Planning Studies2026#BiodiversityDOI
From pilot to paradigm: a call for entrepreneurial strategies to scale up the implementation of nature-based solutions
Tara Op de Beeck, Tom Coppens
This paper advocates for entrepreneurial strategies to scale up nature-based solutions (NbS) from pilot projects to widespread implementation. It argues that business model innovation and policy support are essential for scaling NbS, aiming…
Peer-reviewedJournalChemical Engineering Journal2026#CCUSDOI
Oxidation induced porous frameworks from a novel non-equimolar (Ti0.5V0.4Cr0.1)2AlC medium entropy MAX phase for sustainable carbon capture and storage
Himangshu Saikia, Karthikeyan M, Jishu Chandran +1
This study synthesizes porous frameworks via oxidation of a novel medium-entropy MAX phase (Ti0.5V0.4Cr0.1)2AlC, demonstrating potential for CO2 capture and storage (CCS). The material's structure and properties are evaluated, highlighting …
Peer-reviewedJournalChemical Engineering Journal2026#CCUSDOI
Carbon dioxide capture performance of a highly durable calcium oxide composite supported on silicon carbide-based foam
Kenta Tomita, Shigehiko Funayama, Tsuyoshi Izaki +3
This study evaluates the CO2 capture performance of a calcium oxide composite supported on silicon carbide-based foam, demonstrating high durability and stable capture capacity. It contributes to material development for practical CCUS appl…
Peer-reviewedJournalGenetics and Molecular Research2026#AI × ESGDOI
ENGINEERED SOIL CARBON SYSTEMS FOR SUSTAINABLE CARBON CAPTURE AND STORAGE
Kalpana K, Backiyavathy M R, Chitdeshwari T +2
This review introduces Engineered Soil Carbon Systems (ESCS), integrating enhanced weathering, engineered biology, nanomaterials, and digital monitoring. It highlights IoT and machine learning for improved MRV, positioning ESCS as a verifia…
Peer-reviewedCNJournalAdvanced Electromagnetics2026#AI × ESGDOI
Green Transportation Financial Risk Early Warning Based on Data Dimensionality Reduction and Improved PSO Optimization of SVM under the Background of Low-Carbon Development
W. -J. Bai
This study develops an early warning system for green transportation financial risks using PCA for dimensionality reduction and an improved PSO-optimized SVM. Integrating financial, environmental, policy, and market indicators, it achieves …
JournalZenodo (CERN European Organization for Nuclear Research)2026#Energy TransitionDOI
Supplemental Materials for "Low-carbon intertemporal choice and intervention strategies in public building retrofit decisions: evidence from a behavioral experiment"
Chen Zhu, Yanfei Liu, Qianhui Lou +2
This supplemental material provides detailed experimental materials for a behavioral experiment on low-carbon intertemporal choice and intervention strategies in public building retrofit decisions. It includes baseline measures, a time-repr…
Peer-reviewed🇨🇳 ChinaJournalSustainability2026#PolicyDOI
The Effects of the Dual Pilot Policy of Civilized City and Low-Carbon City on Green Production and Lifestyles: Empirical Evidence from China
Wen Zhou, Feifei Tian
This study examines the impact of the Dual Pilot Policy (DP) combining China's Civilized City and Low-Carbon City programs on urban green production and lifestyles (GPL). Using panel data from 276 cities (2002-2023) and a staggered DID mode…
Peer-reviewedCNJournalHumanities and Social Sciences Communications2026#Energy TransitionDOI
The impact of digital transformation on urban green and low-carbon transformation efficiency: evidence from a double machine learning approach
Jianglin Jiang
This paper uses double machine learning to estimate the causal effect of digital transformation (DX) on urban green and low-carbon transition efficiency. It reveals mechanisms through which DX promotes energy efficiency and emission reducti…
Peer-reviewed🌍 GlobalJournalJournal of Environmental & Earth Sciences2026#Energy TransitionDOI
Optimization and Resource Utilization of Urban Solid Waste Classification and Recycling System under the Goal of Low Carbon Environmental Governance
Chenchen Zhang, Yizhen Du
This review analyzes urban solid waste classification and recycling systems from a low-carbon governance and circular urban development perspective, identifying challenges such as unstable classification behavior, fragmented management, and…
Peer-reviewedJournalEnvironmental Impact Assessment Review2026#Energy TransitionDOI
Life-cycle environmental and economic assessment of low-carbon roof purlin systems: Implications for sustainable material selection
Yulin Patrisia, Dipa Roy, Chamila Gunasekara +3
This paper assesses the life-cycle environmental and economic performance of low-carbon roof purlin systems, offering insights for sustainable material selection in construction. It aims to balance carbon reduction and cost efficiency.
JournalZenodo (CERN European Organization for Nuclear Research)2026#Energy TransitionDOI
Two-layer data-driven energy sharing enables economic and low-carbon operation in multi-MG systems
Xu
This paper proposes a two-layer data-driven approach for optimizing energy sharing among multiple microgrids (MGs), aiming to achieve both economic efficiency and low-carbon operation. By leveraging data-driven methods, it enhances energy t…
Peer-reviewed🇨🇳 ChinaJournalMathematics2026#Energy TransitionDOI
An Improved Coati Optimization Algorithm with Urban-Traffic-Inspired Strategies for Global Optimization and Low-Carbon Microgrid Scheduling
Wenjie Zhao, Chengpeng Li
This paper proposes an Improved Coati Optimization Algorithm (ICOA) inspired by urban traffic mechanisms for low-carbon microgrid scheduling. ICOA introduces road-network stratified initialization, traffic-signal-guided exploration, lane-ch…
Peer-reviewedCNJournalAdvanced Electromagnetics2026#AI × ESGDOI
Application Research of Deep Reinforcement Learning in Low-carbon Scheduling Mechanism for Power Grid Construction Tasks
K. K. Qin, Yu Zheng, Chao Zeng +1
This paper proposes a low-carbon scheduling and carbon emission prediction framework for power grid construction machinery by integrating an improved genetic algorithm (IGA), deep reinforcement learning (DRL), and a gated recurrent unit (GR…
Peer-reviewed🇯🇵 JapanJournalThe Journal of Physical Chemistry C2026#Energy TransitionDOI
Low InterfacialContact Resistance between Carbon-BasedGas Diffusion Layer and Sputter-Deposited Anatase TiO2
Tomohito Sudare, Reiichi Ueda, Yumie Miura +7
This paper demonstrates that Nb-doped TiO2 (TNO) thin films deposited on stainless steel separators by RF magnetron sputtering achieve a low interfacial contact resistance of 2.6 mΩ cm2 against carbon-based gas diffusion layers, meeting the…
Peer-reviewedJournalInternational Journal of Hydrogen Energy2026#CCUSDOI
A hybrid CCUS–bioenergy pathway for low-carbon ammonia and urea production using blue hydrogen
GholamReza Aghdami, Farzin Hosseinifard, Barat Ghobadian +1
This paper proposes a hybrid CCUS-bioenergy pathway using blue hydrogen to decarbonize ammonia and urea production. It demonstrates potential to balance carbon capture efficiency and economic viability through bioenergy integration, offerin…
Peer-reviewed🇨🇳 ChinaJournalSustainability2026#Energy TransitionDOI
Energy Mix Optimization for Yard Trucks in Container Ports Under Low-Carbon Constraints
Linlin Zhang, Junhao Lai, Ke Hu +4
This study develops a mixed-integer programming model to optimize the energy mix for yard trucks in container ports under low-carbon constraints, minimizing total cost while separating carbon costs by operating state. A case study shows a 4…