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 6941–6960 of 32430 papers
Jicheng Du
This study develops a machine learning benchmark and life-cycle screening database for low-carbon alkali-activated materials from coal gangue and steel slag. It compiles 237 mixture records, benchmarks Random Forest and XGBoost under variou…
Jinde Jiang, Junding Yang, W Liu +3
This paper addresses information asymmetry in 3PL-led low-carbon supply chains using a Stackelberg dynamic game model. It shows centralized coordination improves both carbon reduction and profits under carbon cap policy and consumer low-car…
Nhat‐Luong Nhieu, Hoang‐Kha Nguyen
This study develops a T-Spherical Fuzzy-Valued Neutrosophic MEREC-EDAS framework to evaluate low-carbon cooling and energy management technologies for data centers. Based on assessments from 30 experts, nine technologies are ranked against …
Yu-Chen Chou, Priskila A. Diankristanti, I‐Son Ng
This study reports that low-cost monosodium glutamate (MSG) rewires nitrogen metabolism in cyanobacteria, enhancing carbon capture and biomass production. It offers a cost-effective strategy to improve biomass yields for biofuel and bioprod…
Hongyue Deng, Huizhen Wan, Xu Li +4
This study proposes an integrated electricity-heat-gas-hydrogen energy system for carbon anode industrial parks and develops a 24-hour multi-objective scheduling model. By using surplus PV power for hydrogen production and coordinating grad…
Zhengjiao Qi, Yukuan Wang, Jingxian Liu +1
This study applies a wind-constrained Pareto multi-objective reinforcement learning (Pareto MO-PPO) to vessel traffic organization in port approach channels, incorporating wind as both an emission driver and scheduling constraint. In a Caof…
Shuhan Cao
Using the green finance reform pilot zones as a quasi-natural experiment, this study employs DID on panel data from 814 listed high-energy-consuming firms (2011-2024). While average treatment effects are insignificant, heterogeneity analysi…
Bo Zhang, Shengnan Hou, Hongmei Li
Using panel data from 30 Chinese provinces (2011-2023), this study shows that digital economy development significantly reduces carbon emission intensity. Industrial upgrading amplifies this effect, and the reduction strengthens after cross…
Rui Zhang, Zheyu Lin, Yiming Su +1
This study evaluates the impact of China's low-carbon city pilot policy on the mental health of older adults using quasi-experimental methods. It reveals unintended benefits of climate policy, suggesting positive social co-benefits.
Y. D. Bao, Yiyi Lu, C. Liu +5
This paper proposes an LSTM-based forecasting framework for data center energy consumption, integrated into a dual-carbon data management pipeline. The model, featuring attention pooling and multi-task PUE prediction, reduces RMSE by up to …
(著者不明)
This study optimizes HfZrO2-based FeFETs via TCAD simulations, achieving steep subthreshold switching and low-voltage operation, potentially reducing dynamic power by up to 75% through supply-voltage scaling. Non-volatile ferroelectric stat…
Yulin Zhu, Minzhi Sun
This study analyzes the spatial treatment effects of China's Low-carbon City pilot policy on PM2.5 concentrations across 277 cities from 2005 to 2023. It finds significant direct effects in high-policy-intensity regions, and significant spa…
Sachinkumar N Sarangamath, Priya Guhamagadi
Using panel data from 50 emerging markets (2000-2023), this study finds that FDI inflows significantly increase renewable energy share and per-capita installed capacity while reducing carbon intensity of GDP. The effect is stronger in count…
Victor Chima Onwuchekwa
This study proposes a low-carbon design framework for naval bases, using Nigeria's NNS Pathfinder as a case study. It integrates renewable energy (solar PV, wind-assisted ships), sustainable transport (electric taxis, cycling), and low-embo…
Mengqi Xie, Qichang Ma, Xiang Chen
This paper systematically reviews the evolution of the energy security concept in the context of low-carbon transitions, highlighting regional divergences and emerging research trends. It offers an integrated perspective on energy policy an…
Roberta Botinha, Frank N. H. Schrama, Inge Bellemans +2
As the steel industry decarbonizes and increases circularity, scrap use rises, making chromium control in low-carbon steelmaking challenging. This review synthesizes thermodynamics, slag structure, and kinetics to explain chromium distribut…
Gengrui Chen, Hui Hongxun, GAO Hongjun +2
This paper reviews how industrial users can support the low-carbon transition of power systems through process reconfiguration. It analyzes flexibility mechanisms in steel, electrolytic aluminum, and cement industries, and proposes a three-…
H. Y. Miao, X. D. Yuan, M.H. Wu +3
This paper proposes a medium-to-long-term low-carbon economic dispatch framework for electro-hydrogen coupled microgrids (EHCMs) incorporating a tiered carbon trading mechanism. A spectral joint clustering method reduces dimensionality whil…
Peter Kuko, Karin Cakoci
This paper analyzes the EU's Carbon Border Adjustment Mechanism (CBAM) at the intersection of international trade law, customs law, and environmental law, assessing its compatibility with WTO law based on GATT articles and case law. It exam…
Limin Du, Huiying Peng, Zheng Wang
This paper models intertemporal equilibrium in China's rate-based emissions trading system, analyzing how banking mechanisms affect carbon price dynamics. It provides theoretical and empirical insights for policy design.
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