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 9221–9240 of 33989 papers
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…
Dimitriadis D, Papana A, Katrakilidis C
This study examines carbon intensity convergence across European NUTS-2 regions using panel data from 2000-2024 and spatial econometric models. It finds significant conditional beta-convergence, persistent spatial dependence, and slower adj…
Ho-Tran L, Pfenninger-Lee S
This study provides a global classification of renewable energy zones, analogous to Koppen-Geiger climate zones, to identify deployment constraints and opportunities for wind-solar-only systems. It finds that land with abundant and temporal…
Zhu, Ziwei, Clements, Hayley, Zhang, Xiaoling
This study quantifies the impact of energy-transition mineral mining on biodiversity, measured as species abundance loss. It decomposes effects into direct conversion, disturbance, and fragmentation, and projects future mining pressure unde…
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…
Springer, Martin, Brown, Matthew, Ovaitt, Silvana +4
PVDeg is an open-source Python package developed at NREL for modeling photovoltaic (PV) module degradation. It simulates degradation mechanisms like LeTID and hydrolysis using weather data, integrating Monte Carlo uncertainty propagation an…
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…
Dzikowski, Ryszard
This white paper proposes a standardized energy-logistics architecture using molecular energy carriers to address renewable curtailment and grid congestion. It argues that existing technologies can be integrated through standardized interfa…
Yao, Huaying
This replication package audits corporate climate-target claims against mandatory verified emissions from the EU Transaction Log and US EPA GHGRP. Using only public data, it parses 1,779 claims into six adjudication tiers and documents sens…
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…
Dubey, Yash, Sievert, Katrin, Schmidt, Tobias
This dataset supports research evaluating the cost-effectiveness of synthetic fuels and CO2 removal for achieving net-zero aviation. It provides foundational data for comparing economic options in aviation decarbonization.
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…
Carlos Guishca-Cunuhay, Verónica Andrade-Yucailla, Ricardo Bastidas-Espinoza +2
This study evaluates the use of Musa spp. waste fodder (leaves) as ruminant feed and its effects on ruminal fermentation and greenhouse gas (CH4, CO2) production in vitro. M. balbisiana was effective in reducing total gas and CO2, while M. …
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