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.
Showing 2741–2760 of 33736 papers
Tuukka Mäkitie, Allan Dahl Andersen, Caroline Veldhuizen
This paper theorizes how net-zero solutions like CCS require co-evolution across multiple systems, not just single-technology diffusion. It develops a framework integrating meta-rules, structural couplings (institutional, technological, org…
Zhizhi Xue
This review examines microalgae as an emerging bio-based carbon sequestration material for buildings, analyzing sequestration principles, application forms, advantages, and challenges. Algae show far higher carbon capture efficiency than ot…
Kunming Wu, Shuo Wang, Huihuang Luo +3
This study evaluated a full-scale coupled wastewater treatment plant (WWTP)–constructed wetland (CW) system using 2021–2022 operational data. Moderately relaxing pollutant removal in the WWTP while maintaining compliant effluent enhanced do…
Kai Yap Guo
This paper systematically assesses the full-life-cycle sustainability of graphene-on-silicon hybrid FETs (GoSFETs), covering material synthesis, fabrication, operation, and end-of-life disposal. It reviews low-carbon, low-toxicity manufactu…
Üllar Rannik, Ivan Mammarella, Timo Vesala +3
A low-cost, fast-response CO2/H2O sensor prototype was field-tested against a reference eddy-covariance system to enable affordable carbon flux monitoring for carbon markets. It achieved a CO2 response time of 0.18 s and 1 ppm noise at 5 Hz…
Ni Komang Ayu Cintia Dewi, I Gde Kajeng Baskara
This event study examines market reactions to the LQ45 Low Carbon Leaders Index publication on the Indonesia Stock Exchange (2022-2024) using abnormal returns (AAR) and trading volume activity (TVA). Results show no significant AAR differen…
Chaojun Yang, Wang Liu, Peng Ma
Using provincial panel data on China's manufacturing sector (2012–2023), this study applies a Behavior-Capability-Outcome framework to examine how international collaborative R&D shapes regional low-carbon innovation boundaries. It finds an…
Hongxi Di, Wenjie Liu, Zehao Zhang +1
This study assesses China's import vulnerability for five critical mineral groups (lithium, cobalt, nickel, graphite, copper) over 2015–2024, building a Structural Vulnerability Index and Supply-Loss Ratio scenarios under 20–50% supplier co…
Yu Zhang, Zifeng Qin, Weigang Liu
Using hourly Spanish power data, an LSTM forecasts regional carbon emission factors as dynamic carbon signals for a simplified load-shifting dispatch simulation. The LSTM beats persistence and seasonal naive baselines but not Ridge regressi…
Ivana Koláčková
Carbon4Minerals is a Horizon Europe project (Jan 2023–Jun 2027) uniting 14 European partners to convert industrial flue-gas CO2 and secondary mineral resources into low-carbon binders and construction materials. Eight industrial pilots span…
Yu Fang, Yaxing Duan
Using Chinese A-share listed firms (2011–2023), this study empirically examines how climate risk relates to corporate low-carbon transition. It finds a significant positive association, reflected in declining carbon emission intensity, medi…
Gengrui Chen, Hui Hongxun, GAO Hongjun +2
This review examines how industrial users (steel, electrolytic aluminum, cement) can become flexible resources supporting power-system balancing and decarbonization through process reconfiguration and production rescheduling. It proposes a …
Zichen Wang, Yang Li, Tingting Yao +6
This study analyzes the spatiotemporal evolution and driving mechanisms of carbon emissions from global coal mining, and examines China's decoupling path between economic growth and emissions under carbon neutrality. It contributes by mappi…
Ruiyu Bi, Yawen Huang, Wei Ren +4
Using spatially explicit multi-criteria analysis, the authors developed a Biochar Application Priority Index (BAPI) for China's staple crops. Prioritized deployment of ~180 Mt/yr biochar could raise yields by 16.2-41.6 Mt/yr, sequester 311-…
XU Haofeng, ZHUANG Minghao, XU Ning +1
This review integrates IPCC AR6 scenarios with Chinese biomass resource studies, showing bioenergy shifts from power generation toward non-electric fuels and carbon removal as decarbonization deepens. China's sustainable potential is only ~…
Ruiling Zheng, Liang Tang, Xiangping Xian
This study develops a cement-free binder by synergistically valorizing agricultural and industrial solid wastes. It evaluates strength development and microstructural refinement while analyzing carbon-cost trade-offs. The work targets simul…
Pierre Dieudonné, Kamran Ghasemzadeh, Maria-Chiara Ferrari
A techno-economic optimisation of membrane-based carbon capture, balancing separation performance against cost. Aims to identify design conditions that improve thermal efficiency while lowering capture cost. Relevant to making CCUS deployme…
Sebastiano Gianino
Maritime carbon contracts for difference (CCfDs) can advance shipping decarbonization, and are not inherently WTO-incompatible. The main risks stem from design choices—domestic content, origin, nationality, or export-performance conditions.…
Zhuorun Li, Yucong Ren, Boyao Zhang +4
This paper proposes a stochastic optimal power flow method integrating an optimal carbon-trading mechanism. It builds a full-link carbon-footprint index across generation, grid, and load sides, and selects carbon-trading schemes via Nash eq…
Jiaxian Liu, Jiawei Liu, Yifei Feng +1
Using Chinese annual data (2000-2024), this paper applies VECM, cointegration, and Granger causality tests to examine links among economic growth, foreign trade, and carbon emissions. Trade and growth unidirectionally drive emissions, with …
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