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 4761–4780 of 27325 papers

Peer-reviewedJournalEnvironment Systems & Decisions2026#ESGDOI

A fuzzy multi-criteria decision framework for sustainability-oriented prioritization of nature-based solutions in circular economy investments

Gabriel Ayodeji Ogunmola, Bakhodir Abdullaev, Safina Nafisa Talgatovna +3

This paper proposes a fuzzy multi-criteria decision-making framework for prioritizing nature-based solutions (NBS) in circular economy investments, integrating multiple sustainability criteria to support investment decisions.

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Peer-reviewed🌍 GlobalJournalnpj Urban Sustainability2026#Climate RiskDOI

Relationality must be at the heart of climate adaptation evaluation: insights from urban nature-based solutions

Sean Goodwin, Cecilia Alda-Vidal, Ana Terra Amorim‐Maia +3

Drawing on five urban nature-based solutions worldwide, this paper shows how relationships shape adaptation processes and outcomes. Relationality is a concrete enabling condition for successful climate adaptation, evolving over time. The au…

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Peer-reviewed🌍 GlobalJournalEnvironmental Research Letters2026#climate_adaptationDOI

Global evidence on scaling nature-based solutions for compound hazards

Sina Razzaghi Asl, Anahita Azadgar

A systematic review of 38 studies on nature-based solutions (NbS) for climate adaptation to compound hazards. Only six studies directly measured hazard reduction; most evidence is proxy, prioritization, or qualitative. Evidence concentrates…

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Peer-reviewed🇨🇳 ChinaJournalChemical Engineering Science2026#CCUSDOI

A computational mass transfer and wavelet analysis investigation of mass transfer characteristics and operating window of Geldart A, B-, and B + particles in circulating turbulent fluidized beds for carbon capture

Chenghao Deng, Xu Li, Qiaona Hu +2

This study investigates mass transfer characteristics and operating windows of Geldart A, B-, and B+ particles in circulating turbulent fluidized beds for carbon capture, using computational mass transfer and wavelet analysis. It clarifies …

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Peer-reviewed🇨🇳 ChinaJournalSeparation and Purification Technology2026#CCUSDOI

NH4Cl-assisted demineralization and intrinsic nitrogen reconstruction of crayfish shell waste to prepare N-rich porous carbons for flue gas CO2 capture

Jianguo Sun, Qian Liu, Wenqi Zhong +3

This study converts crayfish shell waste into N-rich porous carbons via NH4Cl-assisted demineralization and nitrogen reconstruction. The resulting materials show promising CO2 capture performance for flue gas, offering a waste-to-value appr…

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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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🇨🇳 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-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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