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 30901–30920 of 36583 papers
Elzen Md, Hooijschuur E, Dafnomilis I +6
This study evaluates 2035 NDCs submitted by ~130 countries in 2025. Full implementation would cut 2035 GHG emissions by ~7-11% from 2019 levels, still insufficient for below-2°C/1.5°C pathways. Among G20, Australia, EU, Japan, UK have NDCs …
Toyohara, Jin, Zhou, Weisheng
This paper develops a bottom-up model integrating location, energy systems, and carbon pricing to identify cost-optimal decarbonization pathways for data centers in Japan. It reveals cost-effective strategies depending on renewable energy d…
Kwakye, Ampong Dominic, Švadlenka, Libor, Molkova, Tatiana +1
This study proposes and evaluates an urban logistics system combining rail transport with low-emission last-mile delivery modes (electric vehicles, cargo bikes, crowdshipping). Using operational simulation and break-even analysis, it finds …
Zhang, Bin
This dataset provides a 10-m resolution vector map of utility-scale and rooftop PV plants across China in 2024, extracted from Sentinel-1/2 imagery using a hybrid genetic algorithm and LightGBM classifier with 95.16% accuracy. It includes p…
Weixiang Cai, Chao Li, Lei Xu +5
This study evaluates carbon sequestration rates (CSR) in Loess Plateau ecosystems from 1980 to 2060 under three climate scenarios by integrating field data and models. It predicts a total increase of 2.62 Pg C in vegetation and soil, with C…
Yue Shen, Xingcheng Ge, Wang Yang +2
This study proposes an MCDA framework for prioritizing sustainability criteria in China's urban development, integrating Delphi, Bayesian networks, and BWM. It finds that environmental sustainability and governance are most critical, with c…
Xiaohang Ren, Zihui Sima, Farhad Taghizadeh‐Hesary +1
This paper proposes a CNN model using EUA chart images to predict carbon price trends. It converts price and volume data into pixel images for next-day and n-day cumulative predictions. The model outperforms traditional machine learning mod…
Jun Ning, Shoujuan Tang, Yuheng Sun +4
This study evaluates the CO2 mitigation potential and abatement costs of circular economy (CE) measures in China's textile industry (2023-2030). The total mitigation potential is 57.70 Mt CO2/year, accounting for 18.79% of 2023 emissions. L…
Chaolong Gao, Lanqin Yang, Dawei Yu +4
This study analyzes long-term performance and greenhouse gas emissions from a mega-scale reclaimed water plant in China, evaluating pathways towards carbon-neutral wastewater reclamation. It provides empirical data on emission reduction pot…
Yan Zhang, Jingyu Zhang
This paper develops a valuation framework for forest-based carbon collateral, combining carbon price forecasting from thin CCER trading data with option valuation and a lender-oriented pledge rate equation. Applied to a case in Yunnan, Chin…
Zhaoxin LI, Ziheng Zou, Xiaobo Liu +12
This study maps global stabilized soil organic carbon in the top one meter using machine learning, estimating 1304 Pg C—about half of total soil carbon—concentrated in wetlands and cold regions. It introduces a metric of soil negative carbo…
Yao, Yipeng, Duprez, Marie-Eve, De Weireld, Guy
This paper quantifies life-cycle burden-shifting in global warming potential when post-combustion CCS is applied to energy-intensive industries. It shows that while CCS reduces direct emissions, it may increase upstream emissions, highlight…
Xiaosong Luo, Qibin Li
This study proposes a method to convert PET plastic waste into high-value Schiff base chemicals for CO2 capture, offering a circular economy solution that reduces plastic waste and captures carbon dioxide.
Wenchao Lan, Shuangjun Li, Shuai Deng
This paper proposes a Cluster Adsorption Langmuir Model (CALM) for CO2 adsorption in carbon capture, bridging ideal and real adsorption scenarios. It improves the predictive accuracy for CO2 capture performance, contributing to CCUS technol…
Eduarda C. Queiroz, Emmanouela Leventaki, Alexandre Cuin +3
This study evaluates CO2 capture performance of steel slag and green liquor dregs via direct aqueous carbonation, analyzing how reaction conditions affect carbonation efficiency. It demonstrates potential of low-cost CCUS using industrial b…
Trinh Le Huyen, Van Quang Nguyen, Van Trung Pham +2
This study investigates the synergistic effect of CO2 on BH3-NH3 interactions, enabling simultaneous hydrogen release and carbon capture. It offers a novel chemical pathway for CCUS technologies.
Zhibo Zhang, Yani Wang, Mengzhen Zhu +10
This paper proposes an active learning-driven approach for process modeling and optimization of crude oil to chemicals coupled with carbon capture, aiming to improve efficiency and reduce emissions.
Sardar Dilbag Singh Khalsa
This patent describes a device that captures atmospheric CO2, converts it into useful byproducts (e.g., fuel, building materials), releases purified oxygen, and is powered by solar energy. It is modular and scalable for residential, commerc…
Mahdi Asgari, Etienne Mercier, Maria C. Iliuta
This paper reviews trends and advances in dual-function materials that integrate CO2 capture and conversion via the reverse water-gas shift reaction. It summarizes strategies in material design and performance enhancement, and outlines futu…
Amanda Campos, M. Z. Jacobson
Lifecycle analysis of 116 US CCUS projects finds average net capture rates of 39-58%, well below the common 90% assumption. Projects using CO2 for enhanced oil recovery often result in net emissions increases, suggesting flaws in the 45Q ta…
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