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 7821–7840 of 28803 papers
Arif MA, Furuoka F
This paper develops a SUR-ARDL framework for efficient estimation and testing of cointegrating relationships in small-N panels. The proposed estimator avoids long-run covariance matrices, reducing finite-sample distortions. Monte Carlo and …
Iqbal M, Ahmad N, Gulzar M +1
This study analyzes the impact of natural resource consumption and Industry 5.0 on sustainable energy transition in emerging markets from 2000 to 2023 using panel quantile ARDL and CCMG estimators. Findings show that resource consumption in…
Rohan SI
This study proposes an integrated decision framework combining reliability-centered maintenance (RCM) and renewable energy dispatch. A case study of an energy-intensive manufacturing facility demonstrates 16.6% annual cost reduction, 19.8% …
S GR
This paper proposes an integrated approach combining carbon neutrality and biodiversity conservation in airport operations. It argues that nature-based solutions like habitat restoration and green buffers create synergies, and emphasizes in…
Wang Z, Jia C, Ren R +8
This paper introduces a phosphate material (Sr3(PO4)2) that significantly improves proton transport in oxygen electrodes of protonic ceramic electrolysis cells (PCEC), increasing electrolysis current density by up to 148% at 600°C. Calculat…
Corre S, Magnaval G, Boztas O +2
This study evaluates PET management in Switzerland using LCA and TEA, comparing six end-of-life technologies and optimizing waste allocation. Recycling pathways (mechanical and depolymerization) achieve the greatest climate impact reduction…
Hu G, Wang T, Gu Y +1
This study quantifies the capacity limits of coal gangue utilization in China using GCAM, finding that building material use is capped at 100 Mt/yr. Diversifying into power generation, alumina extraction, and backfill recovers significant t…
Zhang Y, Zeng H, Liu Q +3
This paper proposes a novel process to convert CO2 into graphite using active metal liquids like liquid magnesium, with metal recycling via metallurgy, achieving zero waste discharge. The produced graphite is a valuable material, ensuring e…
Longfor NR, Istrate R, A JJ +1
This study models landfill methane emissions across 44 sub-Saharan African countries (2000-2100) and audits waste-sector NDC commitments. Cumulative emissions equal 1.1-4.5% of the remaining 1.5°C carbon budget, yet only 5 countries have ex…
Zein, Sharif H.
This dataset accompanies a manuscript on nanomaterials for the hydrogen economy, providing technology readiness level (TRL) assignments for 22 nanomaterial classes, along with comparative performance data for hydrogen production catalysts a…
Dominiak, Adam, Rusowicz, Artur
This replication package provides Python scripts and data to reproduce the techno-economic assessment of cement CCS projects in Poland and Bulgaria. It includes parametric, cost, dynamic, marginal breakeven, Monte Carlo, and Shapley decompo…
Halai, Oleksandr, Neilenko, Sergii, Zemlina, Yuliia +2
This study examines how digital technologies (AI, IoT, big data, blockchain) drive sustainable innovation in organizations through a systematic review of peer-reviewed literature from 2010 to 2025 and thematic analysis. It identifies four p…
Johnson, Jewel, C S, Krishnapriya, D T, Raniya +2
This paper proposes a conceptual design of an AI-assisted Phase Change Material (PCM) thermal panel for buildings. The system integrates encapsulated PCMs with sensors and AI control to stabilize indoor temperatures, reducing reliance on HV…
Sneha Burnwal, Yash Shashwat, Somnath Maity +3
This study presents a low-cost IoT-based solar PV monitoring system using an ESP32 microcontroller and sensors. It measures voltage, current, power, and energy in real-time, transmits data to the cloud for visualization, and uses threshold-…
Kolegowicz, Konrad, Kaczmarek, Jarosław, Náñez Alonso, Sergio Luis
This package provides data and code for a study on convergence and diversification of electricity-generation structures in the EU-27 from 1990 to 2024, using Eurostat data. It offers empirical evidence on energy transition dynamics.
C D, VISMAYA, V P, ANAMIKA, JURIYA, FATHIMA +2
Proposes an AI-based framework integrating IoT, cloud, and Random Forest Regression to monitor data center operations, predict heat generation, and recommend optimal heat recovery applications. Aims to improve energy efficiency, reduce cool…
Kwant, Jan Anne, de Waard, Dick
This article examines the extent to which Dutch corporate law enables shareholders to influence the climate policy of listed companies. It finds that while climate policy falls under board authority, shareholders have limited legal instrume…
Zhang, Jingjing, Chen, Bin, Wang, Sijing +1
This release provides codes for calculating facility-level direct GHG emissions from municipal solid waste treatment in 277 Chinese cities (2023), city-level emissions under 2187 scenario combinations (2050) based on seven intervention para…
Dar, Munir
This paper provides a legal analysis of Canada's evolving environmental regulations, focusing on plastic bans, electrification mandates, and sector-specific rules. It highlights increasing compliance burdens and reporting obligations under …
Xi Pan, Xiong Duan, Yu Yu +2
This dataset supports analysis of carbon storage dynamics in southern Sichuan, China, using Sentinel-2 imagery and machine learning for land use classification, InVEST for carbon simulation, SSP scenarios for future projections, and SHAP fo…
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