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 5541–5560 of 27952 papers
Agnieszka Nowaczek, Joanna Kulczycka, Marek Bęben +4
This study evaluates sand-gravel mixtures with 10%, 30%, and 50% crushed gneiss for road construction, assessing mechanical, durability, environmental, and economic performance. Increasing gneiss content improved CBR and deformation modulus…
Krishna Rao, Andrew Dumit, Shaena Ulissi +7
PCFBench is the first benchmark that decomposes product carbon footprint (PCF) estimation into six independently evaluable tasks, with 614 expert-labeled items probing decomposition, retrieval, ontology matching, and numerical extraction. T…
Paolo Vanini
This paper analyzes why incentives to cut emissions weaken over time and proposes the carbon price level needed to prevent this. Using the concept of carbon budgets, it discusses the importance of dynamic incentive design, offering insights…
Agnes Sepaste
This study evaluates carbon cycling in Estonian pure and mixed stands using biometric budgeting. Both stand types are carbon sinks with NEP 1.2-7 t C/ha/yr. In mature Scots pine, partial harvesting maintains carbon neutrality or sink status…
Д.А. Гершинкова
This paper analyzes the role of climate projects in Russian state regulation of greenhouse gas emissions. It offers an original definition of carbon regulation and examines climate projects as a dispositive regulatory tool. Conditions for i…
Rawnak Miraj Ul Azam
This article examines how voluntary carbon market law can facilitate dispossession while remaining formally compliant with climate governance standards. Through critical doctrinal analysis of VCS, Gold Standard, ICVCM, and Article 6.4, it d…
Feifei Chu, Fangmei Cheng, Xiaomeng Zhang +6
This study investigates how ferrous iron-induced secondary mineral formation in iron-enhanced primary sludge affects organic carbon bioavailability and methane recovery during anaerobic digestion. Findings suggest that mineral formation alt…
Beckham Napitupulu, Aidatul Fitriyah
This study designs a carbon credit mechanism for gold recovery from e-waste (urban mining) in Indonesia. LCA shows an 86.9% emission reduction versus primary mining, and a hybrid protocol adapting Verra to SRN-PPI is proposed. Economic anal…
Chenhong Wu, Liping Li, Shuhuan Zheng +2
This study develops a CO2 capture process using choline chloride-glycerol deep eutectic solvent, integrating single-parameter and multiobjective optimization (genetic algorithm + artificial neural network) to achieve high CO2 purity and cap…
Changrui Shi, Wenyue Xue, Zhen Ma +5
This study develops 2D porous nanosheets from natural clay mineral vermiculite via liquid-phase exfoliation and acid etching, achieving enhanced CO2 capture. The nanosheets exhibit high surface area and hierarchical porosity, with a gas upt…
Chris Carpenter
This paper examines the potential of combined-cycle technology for CO2 capture and storage (CCS) on offshore oil and gas installations. Exhaust-gas recycling (EGR) doubles CO2 concentration, reducing amine absorber flow by 50% and equipment…
Hong Zhou
This review outlines microbial CO2 capture and utilization via autotrophic and heterotrophic pathways, covering algal photobioreactors, engineered microbes, and microbial electrosynthesis. It identifies key barriers such as low enzyme activ…
Mojawirahmad Sadat
This supplementary document provides robustness checks and additional data for a framework that assesses critical mineral supply-risk exposure in low-carbon energy technologies using price-weighting and lifecycle adjustment. Sensitivity ana…
Shanliang Ma, Xiaoming Liu, Zengqi Zhang +2
This study developed a low-carbon ferroaluminate cement (SWFAC) using high iron red mud and multiple industrial solid wastes. By optimizing calcination temperature and raw material composition, the mineral phases (C4A3$, C4AF) were controll…
Junjie Cai, Xijian Li, Shoukun Chen
This study proposes a method combining COMSOL multi-physics simulation and machine learning to accurately predict coal rock gas extraction volume, targeting the Qinglong Coal Mine in Guizhou. The XGBoost-LSTM hybrid model achieved the best …
Jinxuan Song, Hongen Zhang, Yuqi Tang +6
This study investigates the bond behavior between steel bars and geopolymer concrete under cryogenic conditions using acoustic emission, providing insights into the durability of low-carbon concrete. Geopolymer concrete offers CO2 reduction…
Santiago Valencia Gonzalez, Joakim Munkhammar, Andreas Theocharis +1
This study analyzes trade-offs between technical/economic and environmental objectives in sizing building solar PV systems. Using NSGA-II, three multi-objective models are compared under Swedish low-carbon grid conditions. Results show that…
A. Vinay Bhushan, Chetan V. Hiremath, Mahantesh Halgatti +2
This paper applies trapezoidal fuzzy linear programming to India's power capacity planning, modeling uncertainty in capacity expansion. It derives a Pareto frontier between maximizing electricity generation and minimizing lifecycle CO2 emis…
Haiteng Han, Simin Zhang, Yue Zhou +1
This paper proposes a risk-adaptive model predictive control (MPC) method using entropy and explainable AI for scheduling low-carbon integrated energy systems. It aims to balance economic efficiency and low-carbon operation under uncertaint…
Bing Zou, Xiang Yang, Yuhan Jin +1
This study proposes a multicollinearity-reduced conditional variational autoencoder (MCLRCVAE) to generate joint wind-solar scenarios for low-carbon dispatch of industrial integrated energy systems. Representative scenarios are selected via…
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