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 20621–20640 of 37251 papers
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This paper proposes a novel method for simultaneous phase and size engineering of transition metal dichalcogenides (TMDs) using cryo-thermal sculpting. The approach enables precise nanostructure design, enhancing performance for energy elec…
Zhen Jie Im
This study analyzes factors influencing public support for climate policies. Using European Social Survey and Eurostat sectoral emissions data, it finds that workers in high-emission sectors have lower personal responsibility to tackle clim…
Lauren E. Bridges
This paper categorizes AI's environmental impacts into Scope 1 (direct data center), 2 (energy infrastructure), 3 (supply chain), and emerging Scope 4 (enabled effects). It applies critical STS perspectives to highlight material dependencie…
R. Venkataraman Guru, B.H. Lowe, M. Bimpizas-Pinis +6
This paper analyzes how rebound effects can undermine decarbonization efforts in the steel industry. It identifies pathways through which efficiency improvements and new technologies may lead to increased production and energy consumption, …
Benjamin L. Rogers, Sejal Shanbhag, Leonardo Gobbato +2
This paper maps the global vanadium supply chain, showing how primary extraction and secondary recycling enable circularity. Vanadium shifts from metallurgical uses to long-duration energy storage, significantly contributing to emissions ab…
Alina Zaharia, Laura Brad, Marius Bogdan Petre +2
This study analyzes drivers and blockers of green energy productivity (GEP) using panel data from EU member states (2007-2023) and 16 independent variables. Findings show positive effects of green taxes, female workforce participation, and …
Marco Mele
This paper analyzes the impact of the 2021-2026 energy crisis on the Italian economy, showing that natural gas prices are the main driver of wholesale electricity prices (PUN). Using VAR models and impulse response functions, it demonstrate…
Annarita Paiano, Marko Drizaku, Teodoro Gallucci
This study quantifies bioenergy potential from selected agricultural residues in Italy using GIS and Local Moran's I analysis. Results show polarized spatial patterns, with northern areas like Bolzano having high potential from apple orchar…
Cephalus Wariri, Sidney Babatunde Allo, Fredrick Ani
This study applies carbon lock-in theory to Algeria's LNG sector, identifying structural inertia, regulatory opacity, and overdependence on fossil fuels. Using SWOT, Porter's Five Forces, and PESTEL analyses, it diagnoses systemic constrain…
Azer Dilanchiev, İbrahim Çütçü
This study investigates energy security determinants across 13 geopolitically vulnerable transition economies from 2000-2023. Using second-generation panel econometrics and the Fragile States Index, it finds that renewable energy deployment…
Satyanarayana Turangi, Venkateswarlu Gunna, T. Seikhotinthang Haokip
The transition to renewable energy is constrained by resource availability, energy return on investment (EROI), and material supply chains. This study examines the tension between rapid decarbonisation and equitable outcomes, projecting tha…
Shalini Yadav, Vinod Bhatia, Chirag Dhankhar +1
This paper proposes an integrated multi-criteria decision-making model based on q-rung orthopair fuzzy sets to evaluate sustainable energy alternatives for Haryana's energy transition. It uses CRITIC for objective weight determination and a…
Steffi O. Muhanji, Clifton Below, Amro M. Farid
This paper proposes a distributed economic model predictive control (MPC) design for transactive energy market platforms. The method aims to optimize energy trading efficiency and balance supply and demand. Distributed control allows partic…
Fatbardha Morina, Albina Hysaj, Güven Sevil
This study examines social, economic, and environmental drivers of renewable energy transition in six Western Balkan countries (2000-2023) using a random effects panel model. Results show that the GINI index positively affects renewable ene…
Ahmed Seffah
This paper argues that genuine sustainability requires organizational transformation over mere technology adoption, proposing a human-centric AI framework. It emphasizes leadership and strategic use of AI for sustainability goals.
Francisco Fernández Beltrán, Eva Mayordomo-Vendrell
This study examines how four major Spanish energy companies (Iberdrola, Endesa, Naturgy, Holaluz) construct the narrative of the energy transition through CEO letters in sustainability reports (2020-2024) using qualitative content analysis …
Sydney Oluoch, Fiona Southers, Cecelia Harner +1
This study examines Kentucky residents' perceptions of coal decline and how socio-demographic factors shape environmental concern using survey data from 685 respondents. Ordered logistic regression results show that female respondents expre…
Giorgio Tripodi, Linda Sabattini, Martina Iori +1
This paper examines the role of fossil fuel companies in carbon removal technologies using IEA data, corporate records, and patents. It finds that incumbents are central to CCS but largely disconnected from emerging direct air capture (DAC)…
Hind Shabbani, Dhuha J. Hussien, Shams A. Mahdi +2
This comprehensive review evaluates recent developments in solid sorbents for direct air capture (DAC), covering physical sorbents (carbon-based, zeolites, MOFs) and chemisorption materials (solid amines, amine-MOF hybrids, amine-mixed meta…
Juan Gea‐Bermúdez, Mate Rozsai, Raffaele Salvucci +5
This paper documents the revision of the power sector module in the POTEnCIA integrated energy system model developed by the JRC of the European Commission. The high-temporal-resolution modelling enables detailed analysis of the transition …
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