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 2001–2020 of 37251 papers
Zhouwei Yin, Wu Chen, Mengyu Ren +2
This study reports the molecular design and performance evaluation of N-isobutylpiperazine as a novel amine sorbent for CO2 capture. It appears to target a more efficient chemical absorption process as an alternative to conventional amines,…
Babak Fayyaz, César Ovalles
A linked scenario model tracks capture mix, heat supply, and carbon fate for a 10 Gt CO2/year CCUS portfolio within one balance of heat, electricity, generation, storage, land, and retained carbon. A 55% flue-gas / 25% separated / 20% DAC m…
He Zhang, Jia Liu, Xumin Li +8
This study investigates a synergistic mechanism for high-efficiency CO₂ mineralization using fly ash and desulfurization gypsum, then evaluates low-carbon mine backfill made from the mineralized products. It couples industrial by-product ut…
Loso Judijanto
A critical review of 2020–2025 research on palm oil fuel ash (POFA) and palm-biomass biochar as lower-carbon concrete constituents. It reframes the issue from cement-replacement feasibility to causal links among residue origin, processing, …
Bingzhao Qiu, Peipei Yang, Liyang Ma +3
This work applies physics-informed machine learning (PIML) to strengthen the resilience of low-carbon power systems under extreme events. By embedding physical laws into ML models, it aims to improve the accuracy and reliability of grid sta…
Thi Hai Hoan Pham, Jianquan Guo
Using provincial panel data from 30 Chinese provinces (2007-2022), this study applies a panel threshold model with two-way fixed effects to examine the nonlinear link between FDI and low-carbon tourism development (LCDT). FDI, green taxatio…
Zhijian Liu, Cheng Cheng, Xudong Yang +1
This study proposes a low-carbon dispatch method for a high-altitude construction-park integrated energy system incorporating truck–grid interaction. It couples waste-heat recovery, ORC and power-to-gas with a multi-state model of electric …
Ramazan Demirboğa, Cemal Karaaslan, Khatib Zada Farhan
Seven alkali-activated mortars combining fly ash, GGBFS and metakaolin in single, binary and ternary blends were compared under a common workability constraint. The slag-only system was densest and strongest (97 MPa), retaining 97% strength…
Wei Dai, Yukun Zhang, Tim Heath
Using a 12-year panel of 40 permanent quadrats in Haidian District, Beijing, the authors build a composite Biodiversity Index covering plants, birds, amphibians and soil fauna. GLMM results show biodiversity is positively associated with ca…
Elena O. Dmitrieva, Anna Sergeevna Zotova, D.E. Ovchinnikov +1
Proposes a methodological approach to assess how well federal and regional strategic goal-setting aligns on low-carbon development and circular economy transition. Using content analysis and structural-content comparison, it tests the appro…
Yunlong Wu, Houmin Li, Jinyan Xie
This study combines a physics-prior plus residual-learning model (B4+SVGP) for creep prediction of low-carbon concrete with NSGA-II multi-objective optimization of net carbon emissions and 1000-day creep compliance. B4+SVGP reached R2=0.966…
Abhishek Kumar Yadav, Rajeev Mishra, Anil Kumar
Assesses green hydrogen as a fuel substitute in a 4,400 t/day cement plant across 50–100% substitution scenarios. Eliminating coal combustion emissions cuts total CO2 by 43% while calcination emissions persist. Techno-economic analysis find…
Fanhao Yang, Jianya Zhao, Zijia Luo +2
Integrating ND-GAIN with U.S. emission inventories (1995–2022), this study models synergistic effects of agriculture, urbanization, and ecosystem vulnerability on carbon emissions. Gaussian fitting supports the EKC with an inflection near $…
Yinchen Zhang, Ruoli Tang, Gang Li +3
This paper proposes a two-stage day-ahead/intraday scheduling strategy using a deep Q-network (DQN) for a port virtual power plant participating in both electricity and carbon trading markets. It builds a physical model integrating wind, PV…
Parth R. Gavle, Neelam Jain
Designs a unified blockchain marketplace for smallholder agricultural carbon credits, spanning evidence capture, a k-of-n verifier quorum, batch-minted quality-encoded tokens, a reversal buffer pool, and an escrowed on-chain order book with…
Amir Mohammadian
A Python-based simulation study optimizing multi-energy dispatch with integrated CCUS and power-to-gas using a TD3 reinforcement-learning agent. It embeds tiered carbon trading to reconstruct carbon-aware operations under emission constrain…
Gökhan Uzel, Gülnaz Hale Üstün, Serkan Gürlük
This paper uses a calibrated Stackelberg model to assess ex ante economic and environmental effects of extending carbon border adjustment to processed agri-food imports from Türkiye to the EU. The EU sets product-specific carbon charges whi…
Xiangxiang Sun, Junxu Zhou
Using a balanced panel of 164 Chinese cities (2009–2023), this study tests whether city-level data trading platforms reduce a joint pollution–carbon burden indicator. Platform establishment is associated with a significant decline in the jo…
Adolf Akwei Acquaye
This paper proposes a carbon finance mechanism that allocates responsibility for trade-embodied emissions between producers and consumers. It aims to operationalize responsible consumption (SDG12) in global trade by designing fair burden-sh…
Aoqi Xu, Manwen Tian, Yonghui Li
An empirical study examining how China's emissions trading scheme affects high-quality agricultural development, exploiting staggered regional rollout for identification. It tests whether carbon pricing mechanisms influence agricultural pro…
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