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 421–440 of 4285 papers
Anas Jamil Abdulrahman, Niko Heikkinen, Miia Nevander +12
This study evaluates Fischer-Tropsch (FT) feedstocks derived from captured CO2 as steam cracker feedstocks. Hydrotreated FT naphtha increased ethylene yield by 48% and reduced CO2 intensity by 27% compared to fossil naphtha, demonstrating a…
Ti-Yao Zhou, Mingyuan Wang, Zheng. Li +3
This study develops an RBF network-based surrogate model for rapid evaluation of CO2-EOR and storage in mature oilfields, trained on 162 high-fidelity simulations. The RBF model outperforms DNN in accuracy (R2=0.895 for oil, 0.940 for stora…
Qi Ding, Xinping Xiao, Lizhong Yang +2
This paper proposes a dual-channel mixed-frequency forecasting method for carbon prices, integrating Informer-BiLSTM deep learning with a Grey-MIDAS framework. By combining data at different frequencies, it aims to capture complex carbon ma…
Yanhua Wu, Hongshuai Dai
This paper addresses volatility forecasting in the EU Emissions Trading System (EU ETS), highlighting that conventional jump detection methods are prone to false discoveries that undermine predictive performance. Applying a universal thresh…
Shangjie Liu, Agyemang Kwasi Sampene, Hazrat Hassan
This study analyzes nonlinear effects of digital technologies, clean energy transition, and industrial upgrading on climate change in five major robot-adopting economies (China, Japan, Germany, US, South Korea) using a multilayer neural net…
Marcus Gustafsson, Karin Eriksson, Vilma Håkansson +1
This paper proposes a methodology to integrate scope 4 (avoided environmental impact) into investment analysis to facilitate capital allocation toward renewable technologies. Using wind and solar power as examples, it quantifies scope 1-3 a…
Vincent Gagné, Vicky Therrien
This brief offers a practical framework for selecting and implementing sustainability reporting standards (GRI, IR, SASB) based on five factors: primary stakeholders, legitimacy/transparency, industry expectations, regulatory context, and i…
Radosveta Krasteva-Hristova
This study analyzes how the UK Big Four audit firms disclose safeguards for human oversight and accountability in AI-assisted work within their 2024 transparency reports. Developing an AI-Judgment Governance Disclosure Index (AI-JGDI) acros…
Javier Escrivá Asensio, Mariel Ribelles Beltrán, Jasmine Siu Lee Lam +2
This study evaluates barriers to e-methanol adoption in container shipping using TOPSIS-based MCDA. Economic barriers (insufficient market-based incentives, carbon pricing, high fuel price) rank highest, followed by technological barriers i…
Ziyang Zhang, Chao Gao, Yue Zhang +6
This study compares the life-cycle environmental impacts of NCM and LFP EV batteries in China. NCM has higher production-stage burdens; hydrometallurgy is the preferred recycling route. By 2060, production emissions are projected to drop by…
Yashika Raheja, Pallavi Gupta, Saurabh Singh +7
This review surveys recent advances in carbon capture and utilization (CCU), positioning CO2 as a renewable C1 feedstock for producing chemicals, fuels, polymers, and advanced materials. It examines catalytic, electrochemical, photochemical…
Hung Vo Thanh, Baehyun Min
This paper proposes a deep ensemble approach using digital rock images to predict time-resolved CO2 saturation in geological carbon storage. By quantifying uncertainty, it enhances reservoir behavior prediction and decision-making, improvin…
Qiang Xiao, Kai Yan, Chunxu Yang
This paper uses evolutionary game theory to analyze how carbon price fluctuations and carbon quota constraints affect cooperation and defection among firms in new energy vehicle (NEV) supply chains. It reveals how carbon pricing and quota s…
Armando Cavalcante Franco Dias
This study suggests that nutrient enrichment in mangrove restoration sites can increase microbial access to protected soil organic carbon pools, potentially destabilizing blue carbon stocks. It warns against treating restoration like agricu…
Summaiya Unnisa Begum, Mohammed Nadeem Ullah, Mohammed Abdul Ghani Khan
Carbon price forecasting is hard; existing work clusters on EU/China, compresses policy text into sentiment, and lacks calibration or explanation stability. This paper distills ten gaps into an impact-feasibility matrix and proposes EPA-Car…
Iñigo de Loyola Arraiza Rivero
This replication package supports a study on full-retirement heterogeneity in the voluntary carbon market, using a CarbonPlan OffsetsDB snapshot. It provides code and outputs for analyzing retirement patterns across 6,025 projects, with res…
Jun Li, Xueyu Wei, Jinheng Li +1
This study develops low-carbon alkali-activated road subbase materials by synergistically utilizing industrial solid wastes such as red mud, molybdenum tailings, and iron tailings. The proposed materials offer an environmentally friendly al…
Huanbei Zhao, Changhong Yu, Guobin Fu +3
This paper proposes a multi-stage low-carbon planning method for data center clusters that coordinates construction sequencing and load growth to avoid redundant early investment while ensuring supply reliability. It integrates a tiered car…
尹俐 覃, Fan Yang, Wang Zeng +4
This paper proposes a method to recycle sinter return fines using cold-bonding and hot-hardening briquetting for low-carbon ironmaking. By reusing waste materials, it enhances resource efficiency and potentially reduces CO2 emissions. Speci…
David Parra, Lourdes F. Vega, Magdy Hassan +2
This paper proposes a digital product passport (DPP) for hydrogen to enhance trust and transparency in low-carbon hydrogen supply chains. By enabling traceability of origin and carbon intensity, DPPs support international certification and …
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