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🌍 GlobalJournalMarine Science and Technology Bulletin2026#Energy TransitionDOI
An interval-valued Pythagorean fuzzy set-based multi-criteria decision-making model for evaluating decarbonization criteria in maritime transport
Muhammed Turğut, İpek GÜRSOY
This study evaluates decarbonization criteria in maritime transport using Interval-Valued Pythagorean Fuzzy AHP. Based on five experts' judgments, low-carbon equipment, shore power, emissions measurement/reporting, fleet modernization, and …
Peer-reviewedJournalJurnal Aplikasi Pelayaran dan Kepelabuhanan2026#Energy TransitionDOI
Reconstructing Maritime Human Resource Management Strategies in Response to Digitalization, Decarbonization, Automation, and Evolving Seafarer Competencies
Sugeng Marsudi, Dyah Agustin Widhi Yanti, Supangat Supangat
This study analyzes human capital resilience in the maritime industry to reconstruct HRM strategies for digitalization, decarbonization, and automation. Based on interviews with 30 informants, it identifies four key dimensions: digital adap…
🇨🇳 ChinaJournalPubMed2026#Energy TransitionDOI
[Factors Decomposition and Carbon Reduction Potential of Domestic Waste Carbon Emission in the Yangtze River Economic Belt at the Urban Scale].
Yu-Zhu Chen, Ming Gao
Using panel data from 111 cities in the Yangtze River Economic Belt, this study estimates carbon emissions from domestic waste, decomposes influencing factors by city type, and predicts reduction potential using BP neural networks and scena…
🇨🇳 ChinaJournalPubMed2026#Energy TransitionDOI
[Assessment and Scenario Prediction of Pollution-carbon Reduction Synergies Toward Dual Carbon Goals in Shanxi Province].
Xingjian Wang, Hong Zhang, Xiaoyu Zhang +2
This study assesses the synergy between greenhouse gas and air pollutant emission reductions in Shanxi Province, China, using scenario analysis up to 2060. Economic development is the main driver of emissions, while energy structure optimiz…
Peer-reviewed🇨🇳 ChinaJournalAngewandte Chemie International Edition2026#Energy TransitionDOI
High‐Efficiency and Carbon‐Lean Electrochemical Desalination Enabled by Nucleophilic Engineering of Organic Molecular Electrode
Haoran Xu, Minjie Shi, Yujie Cui +5
This study develops an organic molecular electrode (PPZ-2NO2) for capacitive deionization (CDI) to address the sustainability trilemma of seawater desalination: high energy use, chemical reliance, and carbon emissions. The system achieves h…
🇨🇳 ChinaJournalPubMed2026#Energy TransitionDOI
[Spatio-temporal Evolution Patterns and Influencing Factors of the Coupling Coordination Effect Between Low-carbon Transportation and New Quality Productive Forces Development： A Case Study of the Yangtze River Economic Belt].
Yan-Fei Li, Cheng Li
Using panel data from 11 provinces in the Yangtze River Economic Belt (2012-2022), this study evaluates the coupling coordination between low-carbon transportation and new quality productive forces. Methods include entropy-weighted TOPSIS, …
Peer-reviewed🇨🇳 ChinaJournalSustainable materials and technologies2026#Energy TransitionDOI
Efficient feature reconstruction mechanisms drive highly reliable modeling of multi-system low-carbon cementitious materials under small-sample constraints
Yuchen Zhao, Yanxi Li, Shuangyan He +2
This study proposes an efficient feature reconstruction mechanism to enhance the reliability of predicting properties of low-carbon cementitious materials under small-sample constraints. By integrating multi-system material data, it improve…
Peer-reviewedJournalElectricity2026#Energy TransitionDOI
Deep Learning-Based Hydrothermal Scheduling Integrating Wind Power and Pumped-Storage Hydropower for Low-Carbon Economic Dispatch
Clóvis Melo, V. Leonardo Paucar, Raimundo Nonato Diniz Costa Filho
This study applies four deep learning architectures (KAN, LSTM, GRU, DFF) to solve hydrothermal scheduling in hybrid power systems with wind and pumped-storage hydropower, optimizing economic and emission objectives. Evaluated on a 10-gener…
Peer-reviewedJournalZenodo (CERN European Organization for Nuclear Research)2026#Energy TransitionDOI
GEOTHERMAL ENERGY AT THE CORE OF KENYA'S GREEN TRANSFORMATION: AN INTEGRATED MODEL FOR RENEWABLE ENERGY AND A LOW-CARBON ECONOMY
FAYEZ WAZANI ABDUL WALID, THUKU HARRISON, GELMANOVA ZOYA SALIKHOVNA
This paper proposes an integrated model for Kenya's green transformation, centering on geothermal energy (45-47% of electricity) combined with solar, wind, storage, smart grids, green hydrogen, and low-carbon industry. It introduces the 'Ge…
Peer-reviewed🇨🇳 ChinaJournalTransport2026#Energy TransitionDOI
Hyper-heuristic algorithm for hubport hinterland division and transportation network optimization with low-carbon orientation
Daofeng Zhong, Chuanzhong Yin, Ying‐En Ge +2
This study proposes a multi-objective mixed-integer programming model to mitigate resource inefficiencies from homogeneous port competition and advance low-carbon hubport transportation networks. A hyper-heuristic algorithm with tabu-list a…
🇨🇳 ChinaJournalPubMed2026#Energy TransitionDOI
[Clean and Low-carbon Transformation Path of the Electric Power Industry in Jiangsu Province Under the Dual Constraints of Pollution Reduction and Carbon Emission Reduction].
Bo Sun, Ye-Shun Zhang, Min-Min Teng
This study optimizes the clean and low-carbon transition path for Jiangsu's power industry (2025-2060) using a goal programming model that minimizes total electricity supply cost under dual constraints of pollution and carbon reduction. Acr…
Peer-reviewed🇨🇳 ChinaJournalIndustrial & Engineering Chemistry Research2026#Energy TransitionDOI
Integrated Low-Carbon Refinery Planning with Coordinated Electrification and Feedstock Transition: Stochastic Programming Model and Decision-Focused Scenario Reduction Algorithm
Shuxian Liu, Longyan Li, Chao Ning
This paper proposes an integrated planning framework for low-carbon refinery transition, combining electrification with renewable power, green hydrogen, and electrified heat, alongside biomass and waste plastics as feedstocks. A two-stage s…
Peer-reviewed🇨🇳 ChinaJournalFrontiers in Marine Science2026#Energy TransitionDOI
Does new digital infrastructure promote the low-carbon transformation of fisheries: evidence from carbon emissions across Chinese provinces
Han Zeng, Xiaoyu Chen
Using panel data from 30 Chinese provinces (2004-2024), this study employs textual analysis and double machine learning to assess the impact of new digital infrastructure (NDI) on fishery carbon emissions (FCE). NDI significantly reduces FC…
🇨🇳 ChinaJournalPubMed2026#Energy TransitionDOI
[Impact and Mechanism of Rural Digital Economy Development on Agricultural Low-carbon Transformation].
Mei-Fang Liu, HU Xue-ping
Using panel data from 30 Chinese provinces (2010-2023), this study shows that rural digital economy development significantly promotes agricultural low-carbon transformation. The effect is mediated by regional economic development, strength…
Peer-reviewedJournalConstruction and Building Materials2026#Energy TransitionDOI
A performance‑driven framework for designing low‑carbon binders for self‑compacting concrete
Alireza Ghayour Najafabadi, Ana Mafalda Matos, José Miguel Castro
This paper proposes a performance-driven framework for designing low-carbon binders for self-compacting concrete. It provides a design method that balances material performance and environmental impact, contributing to decarbonization in th…
Peer-reviewed🇨🇳 ChinaJournalFrontiers in Sustainable Food Systems2026#Energy TransitionDOI
Can digital agriculture development drive agricultural low-carbon transition? Evidence from China
Yi Zhang, Wen Wang, Risheng Gao +1
Using panel data from 30 Chinese provinces (2012-2023), this study constructs a Digital Agriculture Development Index and examines its impact on agricultural carbon emission intensity. Results show that digital agriculture significantly red…
🇨🇳 ChinaJournalPubMed2026#Energy TransitionDOI
[Impact of Low-carbon Transport Mode Conversion on Carbon Emissions in Multiple Scenarios].
Shuhong Ma, Yuxuan Deng, Chao-Jie Duan +1
Using multi-source data from Shenzhen, this study models urban transport carbon emissions and evaluates low-carbon mode shift scenarios. Results show that combining shared bikes with rail transit can cut emissions by up to 20.34%, while sta…
Peer-reviewed🇨🇳 ChinaJournalNature Communications2026#Energy TransitionDOI
Carbon neutrality strategies modulate air quality effects on solar power generation
Hongrong Shi, Da Gao, Chenfei Qu +12
This study quantifies how alternative carbon-neutrality pathways in China affect solar PV output via air quality changes, using integrated energy-economy, meteorology-chemistry, and PV performance models. A renewable-focused pathway boosts …
Peer-reviewed🇯🇵→🌍 Japan-to-Global🇯🇵 JapanJournalJournal of Civil Engineering and Architecture2026#Energy TransitionDOI
Pathways of Carbon Reduction in Concrete-Related Industries as a Methodology toward Carbon Neutrality
Koji Sakai, Takeju Matsuka
This paper presents carbon reduction pathways for concrete-related industries as a methodology based on Best Available Technologies (BAT). It emphasizes the need for 'transition design' across industries to address CO2 emissions from cement…
Peer-reviewed🇨🇳 ChinaJournalScientific Reports2026#Energy TransitionDOI
Cooperative trading and low-carbon economic dispatch in multiple integrated energy systems based on comprehensive contribution
Kaiyue Zheng, Chuanzhen Zhao, Fang Wang
This paper proposes a collaborative optimization framework for multiple integrated energy systems (IES) that enables peer-to-peer trading of electricity, heat, and carbon quotas while ensuring fair profit distribution via a comprehensive co…
