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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Showing 4881–4900 of 31789 papers

Peer-reviewed🇨🇳 ChinaJournalJournal of environmental chemical engineering2026#CCUSDOI

Advances in Biomimetic Carbon Dioxide Capture and Catalytic Conversion

Zirui Liu, Xianjin Wu, Jiawei Fu +4

This paper reviews recent advances in biomimetic approaches for CO2 capture and catalytic conversion, aiming to mimic natural enzymes and processes for efficient and sustainable CO2 utilization. Specific findings are unclear, but it contrib…

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Peer-reviewed🌍 GlobalJournalThe Structural Engineer2026#CCUSDOI

Industry CPD: Carbon-captured cement

Heidelberg Materials

This CPD module, sponsored by Heidelberg Materials, explains the application of carbon capture and storage (CCS) to cement production, presenting near-zero cement solutions. It focuses on the technology's mechanism and industrial implementa…

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🇨🇳 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, …

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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…

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Peer-reviewed🇨🇳 ChinaJournalAdvanced Functional Materials2026#HydrogenDOI

Boron‐Doped Carbon Overlayers Conquer Sulfur Poisoning of Nickel‐Based Catalysts for Ultrastable Low‐Energy Hydrogen Production Coupled With Sulfion Oxidation

Zhaoyue Zhang, Shangguo Liu, Chaoyue Sun +5

This study develops a boron-doped carbon-coated nickel catalyst (Ni@BC) that overcomes sulfur poisoning for low-energy hydrogen production. Ni@BC optimizes sulfur adsorption, suppressing insulating sulfur accumulation, achieving over 1500 h…

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Peer-reviewed🇨🇳 ChinaJournalHumanities and Social Sciences Communications2026#PolicyDOI

Resolving conflicting findings on low-carbon city pilots: stage-specific impacts and the role of voluntary vs. mandatory policies in emissions reduction

Siyue Yang, Yang Zhang, Yichen Wang +2

This study evaluates China's Low-Carbon City Pilot (LCCP) policy by distinguishing its three implementation phases (2010, 2013, 2017) using a multi-period DID framework. Mandatory measures in the third batch significantly reduced CO2 intens…

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Peer-reviewed🇨🇳 ChinaJournalJournal of Cleaner Production2026#HydrogenDOI

Multi-stage low-carbon planning of hydrogen-based multi-energy microgrids with multiple hydrogen pathways and hybrid uncertainties

Jing Huang, Bangyan Wang, Lin Xue +4

This paper proposes a multi-stage low-carbon planning method for hydrogen-based multi-energy microgrids, incorporating multiple hydrogen pathways and hybrid uncertainties. It aims to balance low-carbon goals and economic efficiency through …

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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…

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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…

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🇨🇳 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…

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