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 24401–24420 of 36154 papers

Peer-reviewed🇨🇳 ChinaJournalResearch in Transportation Business & Management2026#Carbon PricingDOI

What carbon price risk threshold triggers modal shift in multimodal freight networks? A risk-informed optimization with evidence from China

Zi-ang ZHANG, Daofeng Zhong, Xinghao LYU

This study analyzes whether a carbon price risk threshold triggers modal shift in multimodal freight networks, using a risk-informed optimization model with empirical evidence from China. Results show that increased carbon price risk promot…

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Peer-reviewed🇨🇳 ChinaJournalHumanities and Social Sciences Communications2026#AI × ESGDOI

China’s energy transition through a resource–fiscal–environmental lens: economic drivers and R&D threshold mediation

Qian He, Ying Jin, Chen Chen +1

This study examines China from 1990-2023 using machine learning methods (LASSO, causal forest, Gaussian process) to analyze how trade openness, structural transformation, and government effectiveness affect coal usage and energy costs, ulti…

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Peer-reviewedJournalInternational Journal of Research in Agronomy2026#Climate ScienceDOI

Effects of agroforestry on soil carbon and nutrient cycling: A review

Ranvijay Kumar, Sonali Kumari, Shashidhar Ks +7

This review synthesizes the effects of agroforestry on soil carbon storage and nutrient cycling. Key mechanisms include increased organic matter inputs and soil aggregation, leading to higher soil organic carbon stocks in topsoil. The paper…

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🌍 GlobalDatasetZenodo (CERN European Organization for Nuclear Research)2026#CCUSDOI

Raw data and source code for: Dual-Function Electrochemical Cell for Simultaneous Carbon Capture and Lithium Extraction from Saline Waters

Omer Shinnawy, Seyyed Arman Hejazi, Kiana Amini

This paper provides raw data and source code for a dual-function electrochemical cell that simultaneously captures CO2 and extracts lithium from saline waters. The thermodynamic plots and experimental data support the feasibility of this in…

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Peer-reviewed🇪🇺 EuropeJournalSystems and Control Transactions2026#CCUSDOI

Techno-economic Analysis of Alternatives for Carbon Capture and Utilization and Green Ammonia Production from a Cement Plant Flue Gas

Miguel A. Pedro, Ana Amorim, Henrique A. Matos

This study performs a techno-economic analysis of alternative routes for carbon capture and utilization (CCU) and green ammonia production from cement plant flue gas. Currently, CO2 capture (90% efficiency) and storage is the most economica…

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Peer-reviewedJournalSystems and Control Transactions2026#CCUSDOI

Integration of carbon dioxide capture in a wine effluent biorefinery through the use of deep eutectic solvents

Carlos Eduardo Guzmán-Martínez, Valeria Caltzontzin Rabell, Sergio Iván Martínez-Guido +2

This study proposes integrating CO2 capture using deep eutectic solvents (DES) into a winery wastewater biorefinery. Aspen Plus simulation shows that the DES-based configuration reduces raw material costs by 48.86%, increases profit by 2.86…

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Peer-reviewedJournalComputers & Chemical Engineering2026#CCUSDOI

A stochastic grey-box model of a solvent-based carbon capture pilot plant

Emil Skov Martinsen, Lars Schwarzer, Sten Frandsen +6

This paper presents a stochastic grey-box model for a solvent-based carbon capture pilot plant. The model integrates physical principles with data-driven approaches to capture uncertainty. Validation using plant data demonstrates its effect…

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