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 4921–4940 of 27325 papers
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…
M.T. Lotz, V. Daioglou, F. Dalla Longa +1
This paper analyzes the transition to a circular economy and low-carbon industry through a model comparison approach. It explores potential for industrial restructuring and resource efficiency, offering implications for policy and corporate…
Xianyu Wang, Xuyang Feng, Haoyang Wang +3
This paper presents a reusable modular wearable bioelectronics platform that decouples a common digital back end from interchangeable analog front-end modules, enabling task-adaptive reconfiguration. Manufacturing-stage carbon-footprint ana…
(著者不明)
This paper explores computational design methods for low-carbon and climate-responsive architecture and urban environments. While specific details are unavailable, it likely focuses on optimizing energy efficiency and climate adaptation in …
Lu Lu
This study explores the practical development path for nationwide expansion of China's silicon-based economy under low-carbon transition of carbon-based industries. Using qualitative literature review and conceptual analysis, it proposes a …
Yan Zhang, Yangyang Zhao, Jiekuan Zhang
Using a time-varying DID model on panel data from 272 Chinese cities (2005-2019), this study treats China's low-carbon city pilot policy as a quasi-natural experiment and finds that urban low-carbon transition significantly enhances urban t…
Putri Meliza Sari, Mega Amelia Putri, Pangeran Aristofanes Musthafa +1
This study proposes an integrated environmental assessment and accounting framework to support low-carbon, labour-sensitive agricultural transition in Indonesia. Using EXIOBASE MRIO data, it evaluates 16 agricultural sectors across five ana…
Jaroslav Moško, Matěj Hušek, Anna Mágrová +4
This study determines the biogenic carbon fraction of sewage sludge as a prerequisite for achieving carbon neutrality in wastewater treatment plants (WWTPs) under EU Directive 2024/3019. Radiocarbon analysis of 15 anaerobically digested slu…
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