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 9981–10000 of 33991 papers

Journal2026#CCUSDOI

Microalgae in Carbon Capture and Storage

Zeyuan Wang, Yang Zhou, Yu Hong

This paper explores the potential of microalgae-based carbon capture and storage (CCS). Microalgae absorb CO2 through photosynthesis and can fix it as biomass, offering a promising alternative to conventional geological storage. While detai…

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Peer-reviewedCNJournalChemical Engineering Journal2026#Energy TransitionDOI

Preparation of coal gasification coarse slag-based low-carbon cementitious materials based on supersulfated cement system: matching mechanism between reaction path induced by multi-mineral salts and mechanical properties

Xiaowei Ge, Xiaowei Gu, Ziyang Hu +8

This study develops low-carbon cementitious materials using coal gasification coarse slag based on a supersulfated cement system. It elucidates the matching mechanism between reaction pathways induced by multi-mineral salts and mechanical p…

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Peer-reviewed🇨🇳 ChinaJournalAdvanced Electromagnetics2026#Energy EfficiencyDOI

Research on Optimization Combination of Heat Transfer Coefficient and Solar Heat Gain Coefficient of Plastic Doors and Windows in Frigid Regions and Carbon Reduction Pathways under the Target of Ultra-Low Energy Consumption

M. Zhang

This study optimizes the combination of U-value and solar heat gain coefficient (SHGC) for plastic doors and windows in ultra-low energy buildings in frigid regions. Using a genetic algorithm and weighted entropy method within a multi-objec…

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Peer-reviewed🇪🇺 EuropeJournalStructures2026#Energy TransitionDOI

Low-carbon, high-strength concrete with high-volume Icelandic volcanic pozzolans and silicomanganese slag: A response surface methodology approach to predictive strength design

DS Hettiarachchi, S. M. Samindi M. K. Samarakoon, Kjell Tore Fosså

This study optimizes low-carbon high-strength concrete with 50% cement replacement using Icelandic volcanic pozzolan (VPI) and silicomanganese slag (SiMn) via response surface methodology. Water-to-binder ratio dominates strength, superplas…

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Peer-reviewed🇨🇳 ChinaJournalDevelopments in the Built Environment2026#Energy TransitionDOI

Incremental update framework for multi-source low-carbon concrete prediction based on conditional tabular generative adversarial network, adaptive weighting, and experience replay

Yue Chen, Shiqi Wang, Jinlong Liu +2

This paper proposes an incremental update framework for low-carbon concrete performance prediction, integrating BO-CTGAN data augmentation, stacking ensemble, adaptive weighting, and experience replay to address retraining costs and robustn…

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Peer-reviewedJournalApplied Energy2026#Energy EfficiencyDOI

Climate-responsive roof cooling strategies for low-energy carbon-neutral buildings: A nationwide comparative assessment of radiative sky cooling and green roofs

Jianheng Chen, Jinqin Zhong, Zhongzheng Chen +5

This paper compares radiative sky cooling and green roofs for carbon-neutral buildings nationwide, identifying climate-responsive optimal strategies. It quantifies energy savings and CO2 reduction potential, offering practical insights for …

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Peer-reviewed🇺🇸 USAJournalMining Metallurgy & Exploration2026#CCUSDOI

Low-Temperature CO2-Enhanced Reductive Bioleaching for Selective Nickel Recovery from Iron-Rich Silicate Tailings, with Concurrent Carbon Sequestration

Kwabena Boafo, Palas Kamlakar Borkar, Atharva Rane +1

Bioleaching of iron-rich mine tailings at 0°C under CO2-enriched atmosphere reduces Fe/Ni ratio from 13.87 to 2.25 (6.2-fold improvement) while maintaining ~45% nickel recovery. Increased CO2 solubility at low temperature precipitates iron …

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Peer-reviewedJournalCase Studies in Construction Materials2026#Energy TransitionDOI

Utilizing unclassified tailings for a novel low-carbon wet shotcrete (LCWS) material: Formulation optimization, multi-scale properties, and practical benefits

Yang Peng, Yongtao Gao, Tianhua Wu +7

This paper reports the development of a novel low-carbon wet shotcrete (LCWS) material utilizing unclassified tailings. Through formulation optimization and multi-scale property evaluation, it demonstrates potential for reducing carbon emis…

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Peer-reviewed🇨🇳 ChinaJournalConstruction and Building Materials2026#AI × ESGDOI

Machine learning-guided design of low-carbon emission recycled concrete aggregate hot-mix asphalt mixtures based on engineering constraints

Kui Hu, Wenhui Chen, Kunpeng Zhang +3

This study uses machine learning to optimize the design of low-carbon asphalt mixtures incorporating recycled concrete aggregate. By incorporating engineering constraints, it proposes mix designs that balance carbon emission reduction with …

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Peer-reviewed🇨🇳 ChinaJournalSustainable materials and technologies2026#Energy TransitionDOI

Low-carbon alkali activation of high-volume lithium slag in ternary cementitious systems: synergistic hydration, microstructural evolution, and environmental assessment

Yi Li, Yu Liu, Lei Li +2

This study develops low-carbon cementitious materials using high-volume lithium slag in ternary systems. It investigates synergistic hydration and microstructural evolution, and conducts environmental assessment to demonstrate CO2 reduction…

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Peer-reviewedJournalCase Studies on Transport Policy2026#EV & TransportDOI

Mapping locations for low-carbon autonomous electric passenger ferries: A data-driven analysis of socioeconomic and demographic neighborhood profiles

Panick Kalambay, Grant Lipscomb, Jose Sanchez-Sossa +6

This paper uses socioeconomic and demographic data to identify optimal locations for low-carbon autonomous electric passenger ferries. It profiles neighborhoods to pinpoint areas where deployment would have the greatest impact, contributing…

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