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 13441–13460 of 30101 papers
Yuhui Lyu, Fan Zheng, Haodong Ji +1
This study presents a machine learning-driven multiobjective optimization framework for ultrahigh-performance concrete (UHPC) mix design to balance strength, cost, and embodied carbon. Using LightGBM predictive models, single-objective and …
K. Barış
This study develops lightweight alkali-activated foams (AAFs) using roof tile and marble wastes, evaluating aluminum powder foaming and thermal performance. The optimal mix achieved a unit weight of 0.56 g/cm3, thermal conductivity of 0.15 …
Riyana Meerapillai Sainulabdeen, Dhanya Sathyan
This paper evaluates sustainable self-compacting concrete using fly ash and rice husk ash, assessing its mechanical properties and environmental impact through experiments and statistics. It demonstrates strength characteristics and reduced…
Jamaldeen Lawal
This paper investigates challenges and opportunities for large-scale adoption of Interlocking Stabilized Soil Block (ISSB) technology in urban housing. Key barriers include rigid regulations, negative public perception, and supply chain iss…
Mahantesh.H.M, Mandeep Narang, R.Padmapriya +3
This paper presents GreenSynapse, a cognitive AI-driven platform integrating neuro-symbolic reasoning, digital twins, and blockchain for sustainable smart cities. It uses reinforcement learning and symbolic reasoning to adaptively control e…
M. Kayakuş, Mustafa Terzioğlu, Dilşad Erdoğan +3
This study applies a multi-method NLP framework to analyze green finance discourse on social media. Using TF-IDF, FinBERT sentiment analysis, LDA topic modeling, and keyword co-occurrence networks on 23,452 X posts, it finds that discourse …
Nosheen Zahra, Hina Ahmad, Syeda Vardah Aftab +1
This study examines how geopolitical risk affects corporate resilience, finding that SDG integration acts as conditional crisis insurance. Using firm-level data from China and Pakistan (2015-2025), it shows that Chinese firms leverage SDG a…
Yanhua Meng, Yonggang Li, Ziwei Feng +1
This study uses China's Green Finance Reform and Innovation Pilot Zone Policy (GFRIPP) as a quasi-natural experiment to examine its impact on firms' Green Total Factor Productivity (GTFP). Difference-in-Differences analysis reveals that GFR…
Marc van der Meide, Mingming Hu, Bernhard Steubing +2
This study analyzes how changes in Premise databases (combined ecoinvent and IAM scenarios) affect LCA results. It compares 2020 and 2050 (baseline and RCP2.6) databases for 9 industrial products, focusing on climate change impacts. Key fin…
Jordana Georgin, D. Franco, Claudete Gindri Ramos +1
A systematic review of 187 articles evaluating cement industry emissions and mitigation technologies via a multimedia framework covering air, water, soil, and noise. Clinker substitution with alternative fuels can cut direct emissions up to…
K.N. Abdullahi, H. Atatiya, A.C. Obianujub +3
This review critically evaluates recent advances in nontraditional ligand systems such as carbenes, nitrenes, and borylenes for small molecule activation and catalysis. It highlights emerging industrial prospects in carbon capture and utili…
Da Zhang
This paper reports a novel inverse Ni/(CeAl)x catalyst for low-temperature CO2 methanation, enabling efficient power-to-gas conversion for renewable energy storage. The catalyst exhibits high activity and selectivity at low temperatures, im…
Guoshan Yang, Jingbo Zhao, Chaoran Li +3
This paper conducts economic modeling and empirical research on renewable hydrogen production in Gansu under the green power direct connection mode. It analyzes cost structures, feasibility, and policy implications, contributing to understa…
M. Raslan, M. Mostafa, Ahmed S. Abdellah +2
This paper proposes a Demand Side Management strategy using Non-Intrusive Load Monitoring (NILM) to optimize green hydrogen microgrid costs. By identifying and shifting deferrable appliances (dishwasher, washing machine) from evening peak t…
Shem Sogota, Rehema Swaleh, P. Misango
This study examines how board of directors' characteristics affect sustainability disclosure quality among firms listed on the Nairobi Securities Exchange (NSE) in Kenya. Findings show that board independence, gender diversity, and ESG expe…
Zikang Yi, Yulong Ying, Jingchao Li +3
This paper proposes a two-stage stochastic optimization scheduling model for an electro-thermal integrated energy system in an energy-intensive industrial park under multiple uncertainties. It uses Cholesky decomposition to capture temporal…
Chengzhi Wu, Chengqing Yuan
This paper presents a bi-level optimization framework for sizing a PEM fuel cell and battery hybrid passenger ferry. It uses Information Gap Decision Theory (IGDT) to assess robustness under uncertainty, providing quantitative insights into…
Chen Wang, Wenzhe Chen, Min Fu +1
This paper addresses operational optimization of microgrid clusters with high renewable penetration. It proposes a low-carbon economic dispatch model incorporating time-of-use pricing, demand response, and carbon trading costs, solved via A…
Dianyu Shi, Feng Ru, Yaohua Yin +3
This paper proposes a method for dispatching integrated electricity-heat energy systems using carbon trading and demand response. It optimizes combined heat and power supply to reduce costs and CO2 emissions. Simulation results demonstrate …
Uma Shankar Veerasamy, Chatchawan Chaichana, Nakorn Tippayawong +2
This study synthesizes a hydrophobic/superoleophilic material (EX-G@C@AC) from waste batteries and biomass for oil-water separation. The sample with 20% activated carbon exhibits high absorption capacities of 53.01 g/g for crude oil and 121…
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