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 1241–1260 of 4168 papers
Rui He, Yining Feng, Na Lu
This study investigates the effect of low-dosage colloidal nanosilica (0.3% and 0.6% by cement weight) on the carbonation performance of Portland limestone cement (PLC) and ordinary Portland cement (OPC). Accelerated carbonation tests show …
Guorui Wang, Liang Zhong, Yixuan Zeng
This review systematically synthesizes evolutionary game theory (EGT) fused with AI (deep reinforcement learning, federated learning, blockchain) across three scales: enterprise-level industrial symbiosis, system-level smart energy operatio…
Nargiz Aliyeva, Havva Baskan-Bayrak, Burcu Saner Okan
This study converts lemon peel, orange peel, walnut shell, and pistachio shell into nano-carbon plates under identical conditions to compare feedstock-dependent structure, performance, and environmental impact. At 1 wt% loading, pistachio-d…
Lu Wang, Chunyan Sun, Xiaoyu Wang
This review surveys AI-enabled low-carbon technologies in the oil and gas industry, covering core needs, applications across key processes, comparisons of AI methods, challenges, and future trends. It serves as a reference for researchers a…
Jiamin Zhang, Yang Qian, Christina W.Y. Wong +1
This study examines how configurations of institutional pressures affect firms' low-carbon behaviors (hard and soft) and the moderating role of AI capability. Using panel data from Chinese A-share listed firms (2007-2022) with cluster analy…
Djamel Lekbir
This paper proposes an Estimation-to-Compensation framework using causal machine learning (double/debiased ML, causal forests) to estimate installation-level heterogeneous treatment effects of the EU ETS and derive targeted compensation pol…
Florian Pothin
This replication package provides data and code for a study showing that trade shocks redraw the global carbon map but do not shrink total emissions. Using 22.4 million bilateral embodied-carbon flows (1995-2023), it runs event studies and …
Leon Schumm, Anton Achhammer, Michael Sterner
This study quantifies country-level green hydrogen export potentials under EU Delegated Act renewable share requirements. A 90% minimum share allows 24 TWh of exports in 2025, while lowering to 70% increases this 7.5-fold to 181 TWh. Export…
Brantley Liddle
Using OECD macro panel data, this study analyzes how electricity and fossil fuel prices affect electrification rates in residential and industrial sectors. Electricity prices have a small but significant negative effect (-0.1 to -0.07), whi…
Stephen J. Newman
This paper analyzes gaps between science and policy in marine fisheries, aquaculture, and living resources, highlighting priorities such as climate adaptation, artificial reefs, and sustainable aquaculture feed. It emphasizes advanced techn…
Kirstine Lund Christiansen, Jonas Allesson, Guy Finkill +2
This perspective examines the emerging trend of public-private co-financing for BECCS projects in Global North countries like Denmark, Sweden, and the UK. It argues that this model risks double claiming of CDR benefits by governments and co…
Ignacio Aguilar, Andrew Carkner, Niranjan R +5
This review discusses electrochemical conversion technologies powered by renewable electricity, including green hydrogen production, biomass upgrading, and CO2 reduction, within circular carbon-neutral networks. It highlights AI's role in a…
Nicholas Fry
This thesis develops a system dynamics framework for geothermal energy networks, addressing building heating/cooling decarbonization. Through four articles, it models technical, economic, and transition dynamics, showing in New York a 14% e…
İlker Mert, Hüseyin Yağlı, J. Costa +1
This study combines NLP and stochastic techno-economic modeling to analyze Türkiye's national hydrogen strategy. Baseline LCOH is 4.89 €/kg with electricity price as dominant driver. Proactive policy intervention raises the probability of r…
Oliver Broad, Verena Hofbauer, Isabela Butnar +2
This paper introduces the concept of geological net zero (GNZ), which requires fossil CO2 emissions to be balanced by geological-timescale storage. Using the UK as a case study, it analyzes pathways under strict, progressive, and cumulative…
Shuang Xu, Can Wang, Haitao Chen
This paper presents a roadmap for deep decarbonization in China's iron and steel industry, focusing on multi-energy coupling and spatial relocation. It explores emission reduction potential and policy implications by combining energy transi…
Fuhao Di, Hengsong Zhao
This study analyzes the impact of the Carbon Border Adjustment Mechanism (CBAM) on China's carbon-intensive industries, evaluating provincial energy demand shifts and competitiveness of decarbonization technologies. It highlights the need f…
Barbara Kowal, Igor Szajer
This study assesses the maturity of decarbonization processes in Polish enterprises using the Polish Economy Decarbonization Index (IDPG) data from 2023-2025. It proposes a two-dimensional maturity matrix combining current maturity and chan…
Ali M.
This paper empirically examines the impact of green finance investment on climate change mitigation in OECD-15 European countries using RALS and QARDL methods. It also considers the role of renewable energy consumption and environmental pol…
Laing T.
This paper empirically analyzes the effects and side-effects of the EU Emissions Trading System (EU ETS). It examines the impact of carbon pricing on emission reductions and potential side-effects such as competitiveness and carbon leakage,…
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