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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Topic: #Energy Transition (clear)

Showing 4321–4340 of 4979 papers

Peer-reviewed🇨🇳 ChinaJournalJournal of Mining and Geotechnical Engineering2026#Energy TransitionDOI

ENERGY-INFRASTRUCTURE MODELS FOR THE INTEGRATION OF DATA PROCESSING CENTERS INTO THE INDUSTRIAL COMPLEX OF COAL REGIONS

Kirill A. Varnavsky, Alexander N. Ermakov, Arina D. Smirnova +4

This study proposes an energy-infrastructure model for integrating data centers into coal regions to address structural crisis in coal industry. It utilizes methane from degasification for power generation and combines renewable energy sour…

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Peer-reviewed🇨🇳 ChinaJournalEconomic Modelling2026#Energy TransitionDOI

Impacts of energy transition on economic dynamics and environmental benefits under distributive justice: A stock–flow consistent approach

Jingyuan Wang, Shuli Yan, Liangpeng Wu

This study uses a stock-flow consistent approach to analyze the impacts of energy transition on economic dynamics and environmental benefits under distributive justice. Through model simulations, it reveals the relationship between energy t…

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Peer-reviewed🇨🇳 ChinaJournalCommunications Materials2026#Energy TransitionDOI

Sulfur cathodes for next-generation batteries

Alessandra Manzini, Irina Martynova, Jing Yu +6

This review critically assesses sulfur-based conversion cathodes for next-generation batteries, bridging laboratory research and practical manufacturing. It analyzes failure mechanisms under realistic conditions such as high sulfur loading …

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Peer-reviewed🇨🇳 ChinaJournalTheoretical and Applied Climatology2026#Energy TransitionDOI

Exploring the interconnections among natural resources, economic growth, energy use, and carbon emissions across West African Nations

Priscilla Nyamekye Abban, Tian Ze, Josephine Elom Baham +2

This study empirically examines the interconnections between natural resources, economic growth, energy use, and carbon emissions across West African nations. The findings may inform policy on sustainable development and decarbonization in …

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Peer-reviewed🇨🇳 ChinaJournalSustainability2026#Energy TransitionDOI

Modeling the Land-Use-Driven Energy Consumption Nexus in Shaanxi Province, China: A Digital Approach Integrating Machine Learning and Spatial Simulation

Li Liu, Xiaohu Yang

This study integrates Random Forest (R²=0.95/0.91 for training/testing) and PLUS simulation (82.5% accuracy for industrial land) to quantify land-use-energy dynamics in Shaanxi, China (2005-2030). Key findings: socioeconomic factors drive l…

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Peer-reviewed🇨🇳 ChinaJournalSustainability2026#Energy TransitionDOI

Renewable Electricity Transition, Waste System Modernization, and Sustainable Methane Mitigation: Global Evidence on Governance-Conditioned Co-Benefits

Yue Lu, Zhongya Ji, Guanxin Yao

This global panel study examines whether renewable electricity expansion is associated with lower waste sector methane intensity. It finds a consistent negative association that strengthens with income and governance quality, suggesting tha…

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Peer-reviewed🇨🇳 ChinaJournalAdvanced Functional Materials2026#Energy TransitionDOI

Dual Sn‐Zn Atomic Decorated Hierarchy Carbon Meta‐Material: Enabling High‐Rate and Low‐Temperature Anode‐Less Na Metal Batteries

Feiyang Yan, Huan Liu, Jing Wan +5

This study introduces a Sn-Zn atomic configured porous nitrogen-rich carbon meta-material (SA-NCS) derived from a guanine-based hydrogen-bonded organic framework (HOF) as a sodium host for anode-less sodium metal batteries. The material pro…

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Peer-reviewed🇨🇳 ChinaJournalEnergy2026#Energy TransitionDOI

Towards a low-carbon power grid: a prospective life cycle assessment of aqueous Zn//MnO2 battery energy storage with integrated power generation in China

Ying Yín, Guiliang Tian, Yutong Jin

This study conducts a prospective life cycle assessment of aqueous Zn/MnO2 battery energy storage integrated with power generation in China, aiming to contribute to a low-carbon power grid. It quantifies environmental impacts and decarboniz…

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Peer-reviewed🇨🇳 ChinaJournalEnergies2026#Energy TransitionDOI

Federated Safe Proximal Policy Optimization for Robust Low-Carbon Dispatch of Heterogeneous Multi-Park Electricity–Heat–Hydrogen Integrated Energy Systems

Zijie Peng, Xiaohui Yang, Qianhua Xiao

This paper proposes a low-carbon dispatch framework for heterogeneous multi-park electricity-heat-hydrogen integrated energy systems (EHHS) using federated safe reinforcement learning. It incorporates stepped carbon trading and peer-to-peer…

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Peer-reviewed🇨🇳 ChinaJournalAdvances in Economics Management and Political Sciences2026#Energy TransitionDOI

The Impact of Digital Technology Integration on Low-Carbon Transformation in Energy-Intensive Enterprises: An Empirical Study Based on A-Share Listed Companies in Shanghai and Shenzhen

Zijing Liu

This paper empirically examines the effect of digital technology integration on low-carbon transformation in Chinese energy-intensive listed firms from 2009 to 2021. Using text analysis of annual reports for digital frequency and the LTFP m…

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Peer-reviewedCNJournalInternational Review of Economics & Finance2026#Energy TransitionDOI

Spatiotemporal dynamics and drivers of green and low-carbon innovation efficiency: evidence from 280 Chinese cities using explainable machine learning

Ding Fan

This study analyzes spatiotemporal dynamics and drivers of green and low-carbon innovation efficiency across 280 Chinese cities using explainable machine learning. It reveals regional disparities and policy impacts, offering insights for lo…

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