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 31501–31520 of 36620 papers

Peer-reviewedJournalChemical Engineering and Processing - Process Intensification2026#Energy TransitionDOI

Strategic planning for low-carbon power systems incorporating small modular reactors

Héctor Quiroga-Barriga, César Ramírez-Márquez, José María Ponce‐Ortega

This paper examines the role of small modular reactors (SMRs) in strategic planning for low-carbon power systems. It analyzes grid integration challenges and policy implications, positioning SMRs as flexible and cost-effective low-carbon so…

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Peer-reviewed🇨🇳 ChinaJournalOcean Engineering2026#Energy TransitionDOI

Low-carbon path planning for inland vessels using a novel FMORL framework

Xianyu Hou, Langxiong Gan, Lei Zhang +3

This study proposes a novel multi-objective reinforcement learning framework (FMORL) for low-carbon path planning of inland vessels. It optimizes routes to minimize CO2 emissions while considering trade-offs with operational costs and time.…

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Peer-reviewed🇨🇳 ChinaJournalInternational Journal of Environmental Science and Technology2026#Energy EfficiencyDOI

Developing low-carbon communities: optimizing residential building layouts in urban centers from the perspective of carbon diffusion impacts

M. Feng, S.-x. Sun, Y Shi +1

This study analyzes the impact of residential building layouts on carbon diffusion in urban centers and proposes optimization methods for low-carbon communities. By adjusting building orientation and spacing, carbon emission dispersion can …

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Peer-reviewed🇨🇳 ChinaJournalJournal of Building Engineering2026#OtherDOI

Seismic performance of masonry walls retrofitted with a low-carbon and low-intervention sprayed ECC: Experimental and analytical studies

Zhang Tian, Xiaoqin Li, Ning Wei +3

This study evaluates the seismic performance of masonry walls retrofitted with a low-carbon sprayed ECC (Engineered Cementitious Composite). Experimental and analytical results show enhanced strength and ductility while reducing carbon foot…

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Peer-reviewed🌍 GlobalJournal2026#AI × ESGDOI

AI/ML Augmented Subsurface Data Workflows for Low Carbon Datasets

Jess B. Kozman, Jack Bashian

This paper emphasizes that AI/ML workflows for low-carbon subsurface energy projects (geothermal, CCS) require high-quality, well-curated geotechnical data adhering to FAIR principles. It highlights that many datasets lack integration and g…

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